1
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Jain RK, Hall CK, Santiso EE. Using Enhanced Sampling Simulations to Study the Conformational Space of Chiral Aromatic Peptoid Monomers. J Chem Theory Comput 2023; 19:9457-9467. [PMID: 37937823 DOI: 10.1021/acs.jctc.3c00803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Peptoids, or N-substituted glycines, are peptide-like materials that form a wide variety of secondary structures owing to their enhanced flexibility and a diverse collection of possible side chains. Compared to that of peptides, peptoids have a substantially more complex conformational landscape. This is mainly due to the ability of the peptoid amide bond to exist in both cis- and trans-conformations. This makes conventional molecular dynamics simulations and even some enhanced sampling approaches unable to sample the complete energy landscapes. In this article, we present an extension to the CGenFF-NTOID peptoid atomistic forcefield by adding parameters for four side chains to the previously available collection. We employ explicit solvent well-tempered metadynamics simulations to optimize our forcefield parameters and parallel bias metadynamics to study the cis-trans isomerism for SN1-phenylethyl (s1pe) and SN1-naphthylethyl (s1ne) peptoid monomers, the free energy minima generated from which are validated with available experimental data. In the absence of experimental data, we supported our atomistic simulations with ab initio calculations. This work represents an important step toward the computational design of peptoid-based materials.
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Affiliation(s)
- Rakshit Kumar Jain
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Carol K Hall
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Erik E Santiso
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
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2
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Swanson HA, Lau KHA, Tuttle T. Minimal Peptoid Dynamics Inform Self-Assembly Propensity. J Phys Chem B 2023; 127:10601-10614. [PMID: 38038956 PMCID: PMC10726364 DOI: 10.1021/acs.jpcb.3c03725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 10/30/2023] [Accepted: 11/09/2023] [Indexed: 12/02/2023]
Abstract
Peptoids are structural isomers of natural peptides, with side chain attachment at the amide nitrogen, conferring this class of compounds with the ability to access both cis and trans ω torsions as well as an increased diversity of ψ/φ states with respect to peptides. Sampling within these dimensions is controlled through side chain selection, and an expansive set of viable peptoid residues exists. It has been shown recently that "minimal" di- and tripeptoids with aromatic side chains can self-assemble into highly ordered structures, with size and morphological definition varying as a function of sequence pattern (e.g., XFF and FXF, where X = a nonaromatic peptoid monomer). Aromatic groups, such as phenylalanine, are regularly used in the design of minimal peptide assemblers. In recognition of this, and to draw parallels between these compounds classes, we have developed a series of descriptors for intramolecular dynamics of aromatic side chains to discern whether these dynamics, in a preassembly condition, can be related to experimentally observed nanoscale assemblies. To do this, we have built on the atomistic peptoid force field reported by Weiser and Santiso (CGenFF-WS) through the rigorous fitting of partial charges and the collation of Charmm General Force Field (CGenFF) parameters relevant to these systems. Our study finds that the intramolecular dynamics of side chains, for a given sequence, is dependent on the specific combination of backbone ω torsions and that homogeneity of sampling across these states correlates well with the experimentally observed ability to assemble into nanomorphologies with long-range order. Sequence patterning is also shown to affect sampling, in a manner consistent for both tripeptoids and tripeptides. Additionally, sampling similarities between the nanofiber forming tripeptoid, Nf-Nke-Nf in the cc state, and the nanotube forming dipeptide FF, highlight a structural motif which may be relevant to the emergence of extended linear assemblies. To assess these properties, a variety of computational approaches have been employed.
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Affiliation(s)
- Hamish
W. A. Swanson
- Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G1 1XL, U.K.
| | - King Hang Aaron Lau
- Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G1 1XL, U.K.
| | - Tell Tuttle
- Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G1 1XL, U.K.
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3
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Harris BS, Bejagam KK, Baer MD. Development of a Systematic and Extensible Force Field for Peptoids (STEPs). J Phys Chem B 2023; 127:6573-6584. [PMID: 37462325 DOI: 10.1021/acs.jpcb.3c01424] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Peptoids (N-substituted glycines) are a class of biomimetic polymers that have attracted significant attention due to their accessible synthesis and enzymatic and thermal stability relative to their naturally occurring counterparts (polypeptides). While these polymers provide the promise of more robust functional materials via hierarchical approaches, they present a new challenge for computational structure prediction for material design. The reliability of calculations hinges on the accuracy of interactions represented in the force field used to model peptoids. For proteins, structure prediction based on sequence and de novo design has made dramatic progress in recent years; however, these models are not readily transferable for peptoids. Current efforts to develop and implement peptoid-specific force fields are spread out, leading to replicated efforts and a fragmented collection of parameterized sidechains. Here, we developed a peptoid-specific force field containing 70 different side chains, using GAFF2 as starting point. The new model is validated based on the generation of Ramachandran-like plots from DFT optimization compared against force field reproduced potential energy and free energy surfaces as well as the reproduction of equilibrium cis/trans values for some residues experimentally known to form helical structures. Equilibrium cis/trans distributions (Kct) are estimated for all parameterized residues to identify which residues have an intrinsic propensity for cis or trans states in the monomeric state.
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Affiliation(s)
- Bradley S Harris
- Physical Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352, United States
| | - Karteek K Bejagam
- Physical Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352, United States
| | - Marcel D Baer
- Physical Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352, United States
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4
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Alamdari S, Torkelson K, Wang X, Chen CL, Ferguson AL, Pfaendtner J. Thermodynamic Basis for the Stabilization of Helical Peptoids by Chiral Sidechains. J Phys Chem B 2023. [PMID: 37379071 DOI: 10.1021/acs.jpcb.3c01913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
Peptoids are a class of highly customizable biomimetic foldamers that retain properties from both proteins and polymers. It has been shown that peptoids can adopt peptide-like secondary structures through the careful selection of sidechain chemistries, but the underlying conformational landscapes that drive these assemblies at the molecular level remain poorly understood. Given the high flexibility of the peptoid backbone, it is essential that methods applied to study peptoid secondary structure formation possess the requisite sensitivity to discriminate between structurally similar yet energetically distinct microstates. In this work, a generalizable simulation scheme is used to robustly sample the complex folding landscape of various 12mer polypeptoids, resulting in a predictive model that links sidechain chemistry with preferential assembly into one of 12 accessible backbone motifs. Using a variant of the metadynamics sampling method, four peptoid dodecamers are simulated in water: sarcosine, N-(1-phenylmethyl)glycine (Npm), (S)-N-(1-phenylethyl)glycine (Nspe), and (R)-N-(1-phenylethyl)glycine (Nrpe)─to determine the underlying entropic and energetic impacts of hydrophobic and chiral peptoid sidechains on secondary structure formation. Our results indicate that the driving forces to assemble Nrpe and Nspe sequences into polyproline type-I helices in water are found to be enthalpically driven, with small benefits from an entropic gain for isomerization and steric strain due to the presence of the chiral center. The minor entropic gains from bulky chiral sidechains in Nrpe- and Nspe-containing peptoids can be explained through increased configurational entropy in the cis state. However, overall assembly into a helix is found to be overall entropically unfavorable. These results highlight the importance of considering the many various competing interactions in the rational design of peptoid secondary structure building blocks.
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Affiliation(s)
- Sarah Alamdari
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Kaylyn Torkelson
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Xiaoqian Wang
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Chun-Long Chen
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
- Physical Science Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Andrew L Ferguson
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
| | - Jim Pfaendtner
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
- Physical Science Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
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5
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Alamdari S, Pfaendtner J. Origins of Conformational Heterogeneity in Peptoid Helices Formed by Chiral N-1-Phenylethyl Sidechains. J Phys Chem B 2023. [PMID: 37379075 DOI: 10.1021/acs.jpcb.3c02576] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
N-substituted glycines (polypeptoids) containing chiral hydrophobic sidechains are known to fold into biomimetic alpha helices. These helix formers often produce conformationally heterogeneous structures and are difficult to characterize at a sub-nanometer resolution. Previously, peptoid N-1-phenylethyl (R)-enantiomer sidechains (Nspe) were inferred from various experiments to form right-handed helices and (S)-enantiomers (Nrpe), left-handed helices. Prior computational work for N(s/r)pe oligomers has struggled to reproduce this trend. Herein, quantum mechanics calculations and molecular dynamics simulations are used to understand the origins of this discrepancy. Results from DFT and molecular mechanics calculations on a variety of Nspe and Nrpe oligomers as a function of chain length are in agreement, showing that Nspe and Nrpe prefer left- and right-handed helices, respectively. Additional metadynamics simulations are used to study Nrpe and Nspe oligomers folding in water. These results show that the free-energy driving forces for assembly into a helical backbone configuration are very small (within ∼kBT). Lastly, we compare DFT calculations for other experimentally characterized peptoid sidechains, N(r/s)sb, N(r/s)tbe, and N(r/s)npe. In this analysis, we show that peptoid sidechains determined to be more robust experimentally (tbe and npe) have helical preferences opposite the trend seen in less robust assemblies formed by N(r/s)pe and N(r/s)sb chemistries. The more robust tbe and nnpe favor the (S)-enantiomer to right-handed and the (R)-enantiomers to left-handed helices.
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Affiliation(s)
- Sarah Alamdari
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Jim Pfaendtner
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
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6
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Kang L, Wang Q, Zhang L, Zou H, Gao J, Niu K, Jiang N. Recent Experimental Advances in Characterizing the Self-Assembly and Phase Behavior of Polypeptoids. MATERIALS (BASEL, SWITZERLAND) 2023; 16:ma16114175. [PMID: 37297308 DOI: 10.3390/ma16114175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023]
Abstract
Polypeptoids are a family of synthetic peptidomimetic polymers featuring N-substituted polyglycine backbones with large chemical and structural diversity. Their synthetic accessibility, tunable property/functionality, and biological relevance make polypeptoids a promising platform for molecular biomimicry and various biotechnological applications. To gain insight into the relationship between the chemical structure, self-assembly behavior, and physicochemical properties of polypeptoids, many efforts have been made using thermal analysis, microscopy, scattering, and spectroscopic techniques. In this review, we summarize recent experimental investigations that have focused on the hierarchical self-assembly and phase behavior of polypeptoids in bulk, thin film, and solution states, highlighting the use of advanced characterization tools such as in situ microscopy and scattering techniques. These methods enable researchers to unravel multiscale structural features and assembly processes of polypeptoids over a wide range of length and time scales, thereby providing new insights into the structure-property relationship of these protein-mimetic materials.
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Affiliation(s)
- Liying Kang
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Qi Wang
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Lei Zhang
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Hang Zou
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Jun Gao
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Kangmin Niu
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Naisheng Jiang
- School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China
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7
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Banerjee A, Dutt M. A hybrid approach for coarse-graining helical peptoids: Solvation, secondary structure, and assembly. J Chem Phys 2023; 158:114105. [PMID: 36948821 DOI: 10.1063/5.0138510] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
Protein mimics such as peptoids form self-assembled nanostructures whose shape and function are governed by the side chain chemistry and secondary structure. Experiments have shown that a peptoid sequence with a helical secondary structure assembles into microspheres that are stable under various conditions. The conformation and organization of the peptoids within the assemblies remains unknown and is elucidated in this study via a hybrid, bottom-up coarse-graining approach. The resultant coarse-grained (CG) model preserves the chemical and structural details that are critical for capturing the secondary structure of the peptoid. The CG model accurately captures the overall conformation and solvation of the peptoids in an aqueous solution. Furthermore, the model resolves the assembly of multiple peptoids into a hemispherical aggregate that is in qualitative agreement with the corresponding results from experiments. The mildly hydrophilic peptoid residues are placed along the curved interface of the aggregate. The composition of the residues on the exterior of the aggregate is determined by two conformations adopted by the peptoid chains. Hence, the CG model simultaneously captures sequence-specific features and the assembly of a large number of peptoids. This multiscale, multiresolution coarse-graining approach could help in predicting the organization and packing of other tunable oligomeric sequences of relevance to biomedicine and electronics.
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Affiliation(s)
- Akash Banerjee
- Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, USA
| | - Meenakshi Dutt
- Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, USA
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8
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Hwang IC, Rick SW. The pH Response of a Peptoid Oligomer. J Phys Chem B 2023; 127:2872-2878. [PMID: 36926948 DOI: 10.1021/acs.jpcb.3c00755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Polypeptoids are N-substituted glycine polymers, which differ from peptides in the placement of the side chain on the amide nitrogen rather than the Cα carbon. A peptoid with a chiral side chain containing both an aromatic group and carboxylic acid has a structure that responds to pH changes. All-atom molecular dynamics simulations using a force field specifically tuned for peptoids were carried out with an advanced sampling method for the peptoid (S)-N-(1-carboxy-2-phenylethyl)glycine in the high and low pH limits. The simulations show that the structure changes from mostly cis amide bonds at low pH to mostly trans bonds at high pH. The structural changes are driven by side chain-backbone hydrogen bonds at low pH and side chain repulsions and increased water contact at high pH.
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Affiliation(s)
- In Chul Hwang
- Department of Chemistry, University of New Orleans, New Orleans, Louisiana 70148, United States
| | - Steven W Rick
- Department of Chemistry, University of New Orleans, New Orleans, Louisiana 70148, United States
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9
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Eastwood JRB, Weisberg EI, Katz D, Zuckermann RN, Kirshenbaum K. Guidelines for designing peptoid structures: Insights from the
Peptoid Data Bank. Pept Sci (Hoboken) 2023. [DOI: 10.1002/pep2.24307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Affiliation(s)
| | | | - Dana Katz
- Department of Chemistry New York University New York New York USA
| | | | - Kent Kirshenbaum
- Department of Chemistry New York University New York New York USA
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10
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Tsai E, Gallage Dona HK, Tong X, Du P, Novak B, David R, Rick SW, Zhang D, Kumar R. Unraveling the Role of Charge Patterning in the Micellar Structure of Sequence-Defined Amphiphilic Peptoid Oligomers by Molecular Dynamics Simulations. Macromolecules 2022; 55:5197-5212. [PMID: 35784657 PMCID: PMC9245439 DOI: 10.1021/acs.macromol.2c00141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 05/26/2022] [Indexed: 11/28/2022]
Abstract
![]()
Electrostatic interactions
play a significant role in regulating
biological systems and have received increasing attention due to their
usefulness in designing advanced stimulus-responsive materials. Polypeptoids
are highly tunable N-substituted peptidomimetic polymers that lack
backbone hydrogen bonding and chirality. Therefore, polypeptoids are
suitable systems to study the effect of noncovalent interactions of
substituents without complications of backbone intramolecular and
intermolecular hydrogen bonding. In this study, all-atom molecular
dynamics (MD) simulations were performed on micelles formed by a series
of sequence-defined ionic polypeptoid block copolymers consisting
of a hydrophobic segment and a hydrophilic segment in an aqueous solution.
By combining the results from MD simulations and experimental small-angle
neutron scattering data, further insights were gained into the internal
structure of the formed polypeptoid micelles, which is not always
directly accessible from experiments. In addition, information was
gained into the physics of the noncovalent interactions responsible
for the self-assembly of weakly charged polypeptoids in an aqueous
solution. While the aggregation number is governed by electrostatic
repulsion of the negatively charged carboxylate (COO–) substituents on the polypeptoid chain within the micelle, MD simulations
indicate that the position of the charge on singly charged chains
mediates the shape of the micelle through the charge–dipole
interactions between the COO– substituent and the
surrounding water. Therefore, the polypeptoid micelles formed from
the single-charged series offer the possibility for tailorable micelle
shapes. In contrast, the polypeptoid micelles formed from the triple-charged
series are characterized by more pronounced electrostatic repulsion
that competes with more significant charge–sodium interactions,
making it difficult to predict the shape of the micelles. This work
has helped further develop design principles for the shape and structure
of self-assembled micelles by controlling the position of charged
moieties on the backbone of polypeptoid block copolymers.
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Affiliation(s)
- Erin Tsai
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | | | - Xinjie Tong
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Pu Du
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Brian Novak
- Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Rolf David
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Steven W. Rick
- Department of Chemistry, University of New Orleans, New Orleans, Louisiana 70148, United States
| | - Donghui Zhang
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Revati Kumar
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
- Center for Computation and Technology, Louisiana State University, Baton Rouge, Louisiana 70803, United States
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11
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Raubenolt BA, Rick SW. Simulation studies of polypeptoids using replica exchange with dynamical scaling and dihedral biasing. J Comput Chem 2022; 43:1229-1236. [PMID: 35543334 DOI: 10.1002/jcc.26887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/15/2022] [Accepted: 04/22/2022] [Indexed: 11/06/2022]
Abstract
Polypeptoids differ from polypeptides in that the amide bond can more frequently adopt both cis and trans conformations. The transition between the two conformations requires overcoming a large energy barrier, making it difficult for conventional molecular simulations to adequately visit the cis and trans structures. A replica-exchange method is presented that allows for easy rotations of the amide bond and also an efficient linking to a high temperature replica. The method allows for just three replicas (one at the temperature and Hamiltonian of interest, a second high temperature replica with a biased dihedral potential, and a third connecting them) to overcome the amide bond sampling problem and also enhance sampling for other coordinates. The results indicate that for short peptoid oligomers, the conformations can range from all cis to all trans with an average cis/trans ratio that depends on side chain and potential model.
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Affiliation(s)
- Bryan A Raubenolt
- Department of Chemistry, University of New Orleans, New Orleans, Louisiana, USA
| | - Steven W Rick
- Department of Chemistry, University of New Orleans, New Orleans, Louisiana, USA
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12
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Wang D, Wang Y, Chang J, Zhang L, Wang H, E W. Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. NATURE COMPUTATIONAL SCIENCE 2022; 2:20-29. [PMID: 38177702 DOI: 10.1038/s43588-021-00173-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 11/15/2021] [Indexed: 01/06/2024]
Abstract
Enhanced sampling methods such as metadynamics and umbrella sampling have become essential tools for exploring the configuration space of molecules and materials. At the same time, they have long faced a number of issues such as the inefficiency when dealing with a large number of collective variables (CVs) or systems with high free energy barriers. Here we show that, with clustering and adaptive tuning techniques, the reinforced dynamics (RiD) scheme can be used to efficiently explore the configuration space and free energy landscapes with a large number of CVs or systems with high free energy barriers. We illustrate this by studying various representative and challenging examples. First we demonstrate the efficiency of adaptive RiD compared with other methods and construct the nine-dimensional (9D) free energy landscape of a peptoid trimer, which has energy barriers of more than 8 kcal mol-1. We then study the folding of the protein chignolin using 18 CVs. In this case, both the folding and unfolding rates are observed to be 4.30 μs-1. Finally, we propose a protein structure refinement protocol based on RiD. This protocol allows us to efficiently employ more than 100 CVs for exploring the landscape of protein structures and it gives rise to an overall improvement of 14.6 units over the initial global distance test-high accuracy (GDT-HA) score.
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Affiliation(s)
- Dongdong Wang
- Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA
- DP Technology, Beijing, People's Republic of China
| | - Yanze Wang
- DP Technology, Beijing, People's Republic of China
- College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China
| | - Junhan Chang
- DP Technology, Beijing, People's Republic of China
- College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China
| | - Linfeng Zhang
- Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA.
- DP Technology, Beijing, People's Republic of China.
| | - Han Wang
- Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing, People's Republic of China.
| | - Weinan E
- School of Mathematical Sciences, Peking University, Beijing, People's Republic of China
- Department of Mathematics and Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA
- Beijing Institute of Big Data Research, Beijing, People's Republic of China
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13
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Hurley MFD, Northrup JD, Ge Y, Schafmeister CE, Voelz VA. Metal Cation-Binding Mechanisms of Q-Proline Peptoid Macrocycles in Solution. J Chem Inf Model 2021; 61:2818-2828. [PMID: 34125519 DOI: 10.1021/acs.jcim.1c00447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The rational design of foldable and functionalizable peptidomimetic scaffolds requires the concerted application of both computational and experimental methods. Recently, a new class of designed peptoid macrocycle incorporating spiroligomer proline mimics (Q-prolines) has been found to preorganize when bound by monovalent metal cations. To determine the solution-state structure of these cation-bound macrocycles, we employ a Bayesian inference method (BICePs) to reconcile enhanced-sampling molecular simulations with sparse ROESY correlations from experimental NMR studies to predict and design conformational and binding properties of macrocycles as functional scaffolds for peptidomimetics. Conformations predicted to be most populated in solution were then simulated in the presence of explicit cations to yield trajectories with observed binding events, revealing a highly preorganized all-trans amide conformation, whose formation is likely limited by the slow rate of cis/trans isomerization. Interestingly, this conformation differs from a racemic crystal structure solved in the absence of cation. Free energies of cation binding computed from distance-dependent potentials of mean force suggest Na+ has a higher affinity to the macrocycle than K+, with both cations binding much more strongly in acetonitrile than water. The simulated affinities are able to correctly rank the extent to which different macrocycle sequences exhibit preorganization in the presence of different metal cations and solvents, suggesting our approach is suitable for solution-state computational design.
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Affiliation(s)
- Matthew F D Hurley
- Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Justin D Northrup
- Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Yunhui Ge
- Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | | | - Vincent A Voelz
- Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
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14
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Jiao S, DeStefano A, Monroe JI, Barry M, Sherck N, Casey T, Segalman RA, Han S, Shell MS. Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation. Macromolecules 2021. [DOI: 10.1021/acs.macromol.1c00550] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Sally Jiao
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
| | - Audra DeStefano
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
| | - Jacob I. Monroe
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
| | - Mikayla Barry
- Department of Materials, University of California, Santa Barbara, California 93106, United States
| | - Nicholas Sherck
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
| | - Thomas Casey
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106, United States
| | - Rachel A. Segalman
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
- Department of Materials, University of California, Santa Barbara, California 93106, United States
| | - Songi Han
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
- Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106, United States
| | - M. Scott Shell
- Department of Chemical Engineering, University of California, Santa Barbara, California 93106, United States
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15
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Voelz VA, Ge Y, Raddi RM. Reconciling Simulations and Experiments With BICePs: A Review. Front Mol Biosci 2021; 8:661520. [PMID: 34046431 PMCID: PMC8144449 DOI: 10.3389/fmolb.2021.661520] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 04/12/2021] [Indexed: 02/04/2023] Open
Abstract
Bayesian Inference of Conformational Populations (BICePs) is an algorithm developed to reconcile simulated ensembles with sparse experimental measurements. The Bayesian framework of BICePs enables population reweighting as a post-simulation processing step, with several advantages over existing methods, including the proper use of reference potentials, and the estimation of a Bayes factor-like quantity called the BICePs score for model selection. Here, we summarize the theory underlying this method in context with related algorithms, review the history of BICePs applications to date, and discuss current shortcomings along with future plans for improvement.
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Affiliation(s)
- Vincent A. Voelz
- Department of Chemistry, Temple University, Philadelphia, PA, United States
| | - Yunhui Ge
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, United States
| | - Robert M. Raddi
- Department of Chemistry, Temple University, Philadelphia, PA, United States
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16
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Zhao M, Sampath J, Alamdari S, Shen G, Chen CL, Mundy CJ, Pfaendtner J, Ferguson AL. MARTINI-Compatible Coarse-Grained Model for the Mesoscale Simulation of Peptoids. J Phys Chem B 2020; 124:7745-7764. [DOI: 10.1021/acs.jpcb.0c04567] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Mingfei Zhao
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
| | - Janani Sampath
- Physical Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Sarah Alamdari
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Gillian Shen
- Department of Chemistry, University of Chicago, Chicago, Illinois 60637, United States
| | - Chun-Long Chen
- Physical Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Christopher J. Mundy
- Physical Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Jim Pfaendtner
- Physical Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Andrew L. Ferguson
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
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17
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Yu B, Danielsen SPO, Yang KC, Ho RM, Walker LM, Segalman RA. Insensitivity of Sterically Defined Helical Chain Conformations to Solvent Quality in Dilute Solution. ACS Macro Lett 2020; 9:849-854. [PMID: 35648517 DOI: 10.1021/acsmacrolett.0c00293] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The interplay between polymer-polymer and polymer-solvent interactions as well as interactions that impose secondary structures determines the conformation of polymer chains in dilute solution. Polypeptoids-poly(N-substituted glycines) have been shown to form helical secondary structures primarily driven by steric interactions from chiral, bulky side chains, while polypeptoids with a racemic mixture of the same side chains lead to unstructured coil chains with a shorter Kuhn length. Small-angle neutron scattering (SANS) of the polypeptoids in dilute solution reveals that the helical polypeptoids are only locally stiffer than the coil chains formed from the racemic analogue, but exhibit overall flexibility. We show that chain conformations of both helical and coil polypeptoids (in terms of radius of gyration, Rg) are insensitive to solvent quality (parametrized by the second virial coefficient, A2). Potential effects from the bulky, chiral/racemic side chains dominating chain conformations are excluded by comparison with an achiral polypeptoid lacking side chain chirality. The specific interactions between polypeptoid segments are likely dominating the chain conformations in this type of polypeptoids as opposed to polymer-solvent interactions or energetic contributions from the helical secondary structure.
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Affiliation(s)
| | | | - Kai-Chieh Yang
- Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30010, Taiwan
| | - Rong-Ming Ho
- Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30010, Taiwan
| | - Lynn M Walker
- Department of Chemical Engineering, Center for Complex Fluids Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
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18
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Wan H, Ge Y, Razavi A, Voelz VA. Reconciling Simulated Ensembles of Apomyoglobin with Experimental Hydrogen/Deuterium Exchange Data Using Bayesian Inference and Multiensemble Markov State Models. J Chem Theory Comput 2020; 16:1333-1348. [PMID: 31917926 DOI: 10.1021/acs.jctc.9b01240] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Hydrogen/deuterium exchange (HDX) is a powerful technique to investigate protein conformational dynamics at amino acid resolution. Because HDX provides a measurement of solvent exposure of backbone hydrogens, ensemble-averaged over potentially slow kinetic processes, it has been challenging to use HDX protection factors to refine structural ensembles obtained from molecular dynamics simulations. This entails dual challenges: (1) identifying structural observables that best correlate with backbone amide protection from exchange and (2) restraining these observables in molecular simulations to model ensembles consistent with experimental measurements. Here, we make significant progress on both fronts. First, we describe an improved predictor of HDX protection factors from structural observables in simulated ensembles, parametrized from ultralong molecular dynamics simulation trajectory data, with a Bayesian inference approach used to retain the full posterior distribution of model parameters. We next present a new method for obtaining simulated ensembles in agreement with experimental HDX protection factors, in which molecular simulations are performed at various temperatures and restraint biases and used to construct multiensemble Markov State Models (MSMs). Finally, the BICePs (Bayesian Inference of Conformational Populations) algorithm is then used with our HDX protection factor predictor to infer which thermodynamic ensemble agrees best with the experiment and estimate populations of each conformational state in the MSM. To illustrate the approach, we use a combination of HDX protection factor restraints and chemical shift restraints to model the conformational ensemble of apomyoglobin at pH 6. The resulting ensemble agrees well with the experiment and gives insight into the all-atom structure of disordered helices F and H in the absence of heme.
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Affiliation(s)
- Hongbin Wan
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
| | - Yunhui Ge
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
| | - Asghar Razavi
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
| | - Vincent A Voelz
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
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19
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Reese HR, Shanahan CC, Proulx C, Menegatti S. Peptide science: A "rule model" for new generations of peptidomimetics. Acta Biomater 2020; 102:35-74. [PMID: 31698048 DOI: 10.1016/j.actbio.2019.10.045] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 10/17/2019] [Accepted: 10/30/2019] [Indexed: 02/07/2023]
Abstract
Peptides have been heavily investigated for their biocompatible and bioactive properties. Though a wide array of functionalities can be introduced by varying the amino acid sequence or by structural constraints, properties such as proteolytic stability, catalytic activity, and phase behavior in solution are difficult or impossible to impart upon naturally occurring α-L-peptides. To this end, sequence-controlled peptidomimetics exhibit new folds, morphologies, and chemical modifications that create new structures and functions. The study of these new classes of polymers, especially α-peptoids, has been highly influenced by the analysis, computational, and design techniques developed for peptides. This review examines techniques to determine primary, secondary, and tertiary structure of peptides, and how they have been adapted to investigate peptoid structure. Computational models developed for peptides have been modified to predict the morphologies of peptoids and have increased in accuracy in recent years. The combination of in vitro and in silico techniques have led to secondary and tertiary structure design principles that mirror those for peptides. We then examine several important developments in peptoid applications inspired by peptides such as pharmaceuticals, catalysis, and protein-binding. A brief survey of alternative backbone structures and research investigating these peptidomimetics shows how the advancement of peptide and peptoid science has influenced the growth of numerous fields of study. As peptide, peptoid, and other peptidomimetic studies continue to advance, we will expect to see higher throughput structural analyses, greater computational accuracy and functionality, and wider application space that can improve human health, solve environmental challenges, and meet industrial needs. STATEMENT OF SIGNIFICANCE: Many historical, chemical, and functional relations draw a thread connecting peptides to their recent cognates, the "peptidomimetics". This review presents a comprehensive survey of this field by highlighting the width and relevance of these familial connections. In the first section, we examine the experimental and computational techniques originally developed for peptides and their morphing into a broader analytical and predictive toolbox. The second section presents an excursus of the structures and properties of prominent peptidomimetics, and how the expansion of the chemical and structural diversity has returned new exciting properties. The third section presents an overview of technological applications and new families of peptidomimetics. As the field grows, new compounds emerge with clear potential in medicine and advanced manufacturing.
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20
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Weiser LJ, Santiso EE. A CGenFF‐based force field for simulations of peptoids with both
cis
and
trans
peptide bonds. J Comput Chem 2019; 40:1946-1956. [DOI: 10.1002/jcc.25850] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/27/2019] [Accepted: 04/14/2019] [Indexed: 12/26/2022]
Affiliation(s)
- Laura J. Weiser
- Department of Chemical and Biomolecular EngineeringNorth Carolina State University Campus Box 7905, Raleigh North Carolina 27695–7905
| | - Erik E. Santiso
- Department of Chemical and Biomolecular EngineeringNorth Carolina State University Campus Box 7905, Raleigh North Carolina 27695–7905
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21
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Perez Bakovic GR, Roberts JL, Colford B, Joyce M, Servoss SL. Peptoid microsphere coatings: The effects of helicity, temperature, pH, and ionic strength. Biopolymers 2019; 110:e23283. [DOI: 10.1002/bip.23283] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 03/08/2019] [Accepted: 04/04/2019] [Indexed: 12/17/2022]
Affiliation(s)
- German R. Perez Bakovic
- Ralph E. Martin Department of Chemical EngineeringUniversity of Arkansas Fayetteville Fayetteville Arkansas
| | - Jesse L. Roberts
- Ralph E. Martin Department of Chemical EngineeringUniversity of Arkansas Fayetteville Fayetteville Arkansas
| | - Bryce Colford
- Ralph E. Martin Department of Chemical EngineeringUniversity of Arkansas Fayetteville Fayetteville Arkansas
| | - Myles Joyce
- Ralph E. Martin Department of Chemical EngineeringUniversity of Arkansas Fayetteville Fayetteville Arkansas
| | - Shannon L. Servoss
- Ralph E. Martin Department of Chemical EngineeringUniversity of Arkansas Fayetteville Fayetteville Arkansas
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22
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Spencer RK, Butterfoss GL, Edison JR, Eastwood JR, Whitelam S, Kirshenbaum K, Zuckermann RN. Stereochemistry of polypeptoid chain configurations. Biopolymers 2019; 110:e23266. [DOI: 10.1002/bip.23266] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/31/2019] [Accepted: 02/05/2019] [Indexed: 12/13/2022]
Affiliation(s)
- Ryan K. Spencer
- Department of Chemistry University of California Irvine California
- Department of Chemical Engineering & Materials Science University of California Irvine California
| | - Glenn L. Butterfoss
- Center for Genomics and Systems Biology New York University Abu Dhabi Abu Dhabi United Arab Emirates
| | - John R. Edison
- Martin A Fisher School of Physics Brandeis University Waltham Massachusetts
- Molecular Foundry Lawrence Berkeley National Laboratory Berkeley California
| | | | - Stephen Whitelam
- Molecular Foundry Lawrence Berkeley National Laboratory Berkeley California
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23
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Gimenez D, Zhou G, Hurley MFD, Aguilar JA, Voelz VA, Cobb SL. Fluorinated Aromatic Monomers as Building Blocks To Control α-Peptoid Conformation and Structure. J Am Chem Soc 2019; 141:3430-3434. [PMID: 30739443 DOI: 10.1021/jacs.8b13498] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Peptoids are peptidomimetics of interest in the fields of drug development and biomaterials. However, obtaining stable secondary structures is challenging, and designing these requires effective control of the peptoid tertiary amide cis/trans equilibrium. Herein, we report new fluorine-containing aromatic monomers that can control peptoid conformation. Specifically, we demonstrate that a fluoro-pyridine group can be used to circumvent the need for monomer chirality to control the cis/trans equilibrium. We also show that incorporation of a trifluoro-methyl group ( NCF3Rpe) rather than a methyl group ( NRpe) at the α-carbon of a monomer gives rise to a 5-fold increase in cis-isomer preference.
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Affiliation(s)
- Diana Gimenez
- Department of Chemistry , Durham University , South Road , Durham DH1 3LE , U.K
| | - Guangfeng Zhou
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
| | - Matthew F D Hurley
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
| | - Juan A Aguilar
- Department of Chemistry , Durham University , South Road , Durham DH1 3LE , U.K
| | - Vincent A Voelz
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
| | - Steven L Cobb
- Department of Chemistry , Durham University , South Road , Durham DH1 3LE , U.K
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24
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Cummings AE, Miao J, Slough DP, McHugh SM, Kritzer JA, Lin YS. β-Branched Amino Acids Stabilize Specific Conformations of Cyclic Hexapeptides. Biophys J 2019; 116:433-444. [PMID: 30661666 DOI: 10.1016/j.bpj.2018.12.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 11/19/2018] [Accepted: 12/13/2018] [Indexed: 01/11/2023] Open
Abstract
Cyclic peptides (CPs) are a promising class of molecules for drug development, particularly as inhibitors of protein-protein interactions. Predicting low-energy structures and global structural ensembles of individual CPs is critical for the design of bioactive molecules, but these are challenging to predict and difficult to verify experimentally. In our previous work, we used explicit-solvent molecular dynamics simulations with enhanced sampling methods to predict the global structural ensembles of cyclic hexapeptides containing different permutations of glycine, alanine, and valine. One peptide, cyclo-(VVGGVG) or P7, was predicted to be unusually well structured. In this work, we synthesized P7, along with a less well-structured control peptide, cyclo-(VVGVGG) or P6, and characterized their global structural ensembles in water using NMR spectroscopy. The NMR data revealed a structural ensemble similar to the prediction for P7 and showed that P6 was indeed much less well-structured than P7. We then simulated and experimentally characterized the global structural ensembles of several P7 analogs and discovered that β-branching at one critical position within P7 is important for overall structural stability. The simulations allowed deconvolution of thermodynamic factors that underlie this structural stabilization. Overall, the excellent correlation between simulation and experimental data indicates that our simulation platform will be a promising approach for designing well-structured CPs and also for understanding the complex interactions that control the conformations of constrained peptides and other macrocycles.
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Affiliation(s)
| | - Jiayuan Miao
- Department of Chemistry, Tufts University, Medford, Massachusetts
| | - Diana P Slough
- Department of Chemistry, Tufts University, Medford, Massachusetts
| | - Sean M McHugh
- Department of Chemistry, Tufts University, Medford, Massachusetts
| | - Joshua A Kritzer
- Department of Chemistry, Tufts University, Medford, Massachusetts.
| | - Yu-Shan Lin
- Department of Chemistry, Tufts University, Medford, Massachusetts.
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25
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Hoyas S, Lemaur V, Duez Q, Saintmont F, Halin E, De Winter J, Gerbaux P, Cornil J. PEPDROID: Development of a Generic DREIDING-Based Force Field for the Assessment of Peptoid Secondary Structures. ADVANCED THEORY AND SIMULATIONS 2018. [DOI: 10.1002/adts.201800089] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Sébastien Hoyas
- Laboratory for Chemistry of Novel Materials; University of Mons; Mons 7000 Belgium
| | - Vincent Lemaur
- Laboratory for Chemistry of Novel Materials; University of Mons; Mons 7000 Belgium
| | - Quentin Duez
- Synthesis and Mass Spectrometry Laboratory; University of Mons; Mons 7000 Belgium
| | - Fabrice Saintmont
- Synthesis and Mass Spectrometry Laboratory; University of Mons; Mons 7000 Belgium
| | - Emilie Halin
- Synthesis and Mass Spectrometry Laboratory; University of Mons; Mons 7000 Belgium
| | - Julien De Winter
- Synthesis and Mass Spectrometry Laboratory; University of Mons; Mons 7000 Belgium
| | - Pascal Gerbaux
- Laboratory for Chemistry of Novel Materials; University of Mons; Mons 7000 Belgium
| | - Jérôme Cornil
- Laboratory for Chemistry of Novel Materials; University of Mons; Mons 7000 Belgium
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26
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Ge Y, Voelz VA. Model Selection Using BICePs: A Bayesian Approach for Force Field Validation and Parameterization. J Phys Chem B 2018. [PMID: 29518328 DOI: 10.1021/acs.jpcb.7b11871] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The Bayesian Inference of Conformational Populations (BICePs) algorithm reconciles theoretical predictions of conformational state populations with sparse and/or noisy experimental measurements. Among its key advantages is its ability to perform objective model selection through a quantity we call the BICePs score, which reflects the integrated posterior evidence in favor of a given model, computed through free energy estimation methods. Here, we explore how the BICePs score can be used for force field validation and parametrization. Using a 2D lattice protein as a toy model, we demonstrate that BICePs is able to select the correct value of an interaction energy parameter given ensemble-averaged experimental distance measurements. We show that if conformational states are sufficiently fine-grained, the results are robust to experimental noise and measurement sparsity. Using these insights, we apply BICePs to perform force field evaluations for all-atom simulations of designed β-hairpin peptides against experimental NMR chemical shift measurements. These tests suggest that BICePs scores can be used for model selection in the context of all-atom simulations. We expect this approach to be particularly useful for the computational foldamer design as a tool for improving general-purpose force fields given sparse experimental measurements.
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Affiliation(s)
- Yunhui Ge
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
| | - Vincent A Voelz
- Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States
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27
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Davidson EC, Rosales AM, Patterson AL, Russ B, Yu B, Zuckermann RN, Segalman RA. Impact of Helical Chain Shape in Sequence-Defined Polymers on Polypeptoid Block Copolymer Self-Assembly. Macromolecules 2018. [DOI: 10.1021/acs.macromol.8b00055] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
| | - Adrianne M. Rosales
- Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | | | - Boris Russ
- Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | | | - Ronald N. Zuckermann
- Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
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28
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Prakash A, Baer MD, Mundy CJ, Pfaendtner J. Peptoid Backbone Flexibilility Dictates Its Interaction with Water and Surfaces: A Molecular Dynamics Investigation. Biomacromolecules 2018; 19:1006-1015. [PMID: 29443506 DOI: 10.1021/acs.biomac.7b01813] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Peptoids are peptide-mimetic biopolymers that are easy to synthesize and adaptable for use in drugs, chemical scaffolds, and coatings. However, there is insufficient information about their structural preferences and interactions with the environment in various applications. We conducted a study to understand the fundamental differences between peptides and peptoids using molecular dynamics simulations with semiempirical (PM6) and empirical (AMBER) potentials, in conjunction with metadynamics enhanced sampling. From studies of single molecules in water and on surfaces, we found that sarcosine (model peptoid) is much more flexible than alanine (model peptide) in different environments. However, the sarcosine and alanine interact similarly with a hydrophobic or a hydrophilic. Finally, this study highlights the conformational landscape of peptoids and the dominant interactions that drive peptoids toward these conformations.
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Affiliation(s)
- Arushi Prakash
- Department of Chemical Engineering , University of Washington , Seattle , Washington , United States
| | - Marcel D Baer
- Physical Science Division , Pacific Northwest National Laboratory , P.O. Box 999, Richland , Washington 99352 , United States
| | - Christopher J Mundy
- Department of Chemical Engineering , University of Washington , Seattle , Washington , United States.,Physical Science Division , Pacific Northwest National Laboratory , P.O. Box 999, Richland , Washington 99352 , United States
| | - Jim Pfaendtner
- Department of Chemical Engineering , University of Washington , Seattle , Washington , United States.,Physical Science Division , Pacific Northwest National Laboratory , P.O. Box 999, Richland , Washington 99352 , United States
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29
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Kang B, Yang W, Lee S, Mukherjee S, Forstater J, Kim H, Goh B, Kim TY, Voelz VA, Pang Y, Seo J. Precisely tuneable energy transfer system using peptoid helix-based molecular scaffold. Sci Rep 2017; 7:4786. [PMID: 28684782 PMCID: PMC5500559 DOI: 10.1038/s41598-017-04727-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 05/26/2017] [Indexed: 12/27/2022] Open
Abstract
The energy flow during natural photosynthesis is controlled by maintaining the spatial arrangement of pigments, employing helices as scaffolds. In this study, we have developed porphyrin-peptoid (pigment-helix) conjugates (PPCs) that can modulate the donor-acceptor energy transfer efficiency with exceptional precision by controlling the relative distance and orientation of the two pigments. Five donor-acceptor molecular dyads were constructed using zinc porphyrin and free base porphyrin (Zn(i + 2)–Zn(i + 6)), and highly efficient energy transfer was demonstrated with estimated efficiencies ranging from 92% to 96% measured by static fluorescence emission in CH2Cl2 and from 96.3% to 97.6% using femtosecond transient absorption measurements in toluene, depending on the relative spatial arrangement of the donor-acceptor pairs. Our results suggest that the remarkable precision and tunability exhibited by nature can be achieved by mimicking the design principles of natural photosynthetic proteins.
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Affiliation(s)
- Boyeong Kang
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea
| | - Woojin Yang
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea
| | - Sebok Lee
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea
| | - Sudipto Mukherjee
- Department of Chemistry, Temple University, 1901 N. 13th St., Philadelphia, PA 19122, USA
| | - Jonathan Forstater
- Department of Chemistry, Temple University, 1901 N. 13th St., Philadelphia, PA 19122, USA
| | - Hanna Kim
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea
| | - Byoungsook Goh
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea
| | - Tae-Young Kim
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea.,School of Earth Sciences and Engineering, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea
| | - Vincent A Voelz
- Department of Chemistry, Temple University, 1901 N. 13th St., Philadelphia, PA 19122, USA.
| | - Yoonsoo Pang
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea.
| | - Jiwon Seo
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, South Korea.
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30
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Yang W, Kang B, Voelz VA, Seo J. Control of porphyrin interactions via structural changes of a peptoid scaffold. Org Biomol Chem 2017; 15:9670-9679. [DOI: 10.1039/c7ob02398g] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
A template to control porphyrin interactions is constructed by displaying porphyrins at defined positions on a helical peptoid.
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Affiliation(s)
- Woojin Yang
- Department of Chemistry
- School of Physics and Chemistry
- Gwangju Institute of Science and Technology
- Gwangju 61005
- South Korea
| | - Boyeong Kang
- Department of Chemistry
- School of Physics and Chemistry
- Gwangju Institute of Science and Technology
- Gwangju 61005
- South Korea
| | | | - Jiwon Seo
- Department of Chemistry
- School of Physics and Chemistry
- Gwangju Institute of Science and Technology
- Gwangju 61005
- South Korea
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31
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Cutrone NM, Dorilio JR, Hurley SK, Pajovich HT, Smith AM, Banerjee IA. Probing the formation of supramolecular assemblies of amphiphilic N-methyl glycine and N,N dimethyl β-alanine derivatives. NEW J CHEM 2017. [DOI: 10.1039/c7nj00641a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Supramolecular assemblies were prepared using new amphiphilic dervivatives of N-methyl gylcine and N,N dimethyl-β-alanine.
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32
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Daily MD, Baer MD, Mundy CJ. Divalent Ion Parameterization Strongly Affects Conformation and Interactions of an Anionic Biomimetic Polymer. J Phys Chem B 2016; 120:2198-208. [DOI: 10.1021/acs.jpcb.5b12277] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Michael D. Daily
- Physical
Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- Department
of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas 77555, United States
| | - Marcel D. Baer
- Physical
Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Christopher J. Mundy
- Physical
Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
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Angelici G, Bhattacharjee N, Roy O, Faure S, Didierjean C, Jouffret L, Jolibois F, Perrin L, Taillefumier C. Weak backbone CH⋯OC and side chain tBu⋯tBu London interactions help promote helix folding of achiral NtBu peptoids. Chem Commun (Camb) 2016; 52:4573-6. [DOI: 10.1039/c6cc00375c] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The synthesis and helix folding propensity of achiral all-cis amide (NtBu)-glycine oligomers is reported.
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Affiliation(s)
- G. Angelici
- Université Clermont Auvergne
- Université Blaise Pascal
- Institut de Chimie de Clermont-Ferrand
- F-63000 Clermont-Ferrand
- France
| | | | - O. Roy
- Université Clermont Auvergne
- Université Blaise Pascal
- Institut de Chimie de Clermont-Ferrand
- F-63000 Clermont-Ferrand
- France
| | - S. Faure
- Université Clermont Auvergne
- Université Blaise Pascal
- Institut de Chimie de Clermont-Ferrand
- F-63000 Clermont-Ferrand
- France
| | - C. Didierjean
- LCM3B
- Université de Lorraine
- UMR CNRS 7036 CRM2
- F-54506 Vandoeuvre-lès-Nancy
- France
| | - L. Jouffret
- Université Clermont Auvergne
- Université Blaise Pascal
- Institut de Chimie de Clermont-Ferrand
- F-63000 Clermont-Ferrand
- France
| | - F. Jolibois
- Université de Toulouse-INSA-UPS
- LPCNO
- CNRS UMR 5215
- Toulouse
- France
| | - L. Perrin
- ICBMS UMR 5246
- Université de Lyon
- Bât. Curien
- 69622 Villeurbanne cedex
- France
| | - C. Taillefumier
- Université Clermont Auvergne
- Université Blaise Pascal
- Institut de Chimie de Clermont-Ferrand
- F-63000 Clermont-Ferrand
- France
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