Exploring the helix-coil transition via all-atom equilibrium ensemble simulations

Molecular dynamics simulation of spin–lattice NMR relaxation in poly-l-lysine dendrimers: manifestation of the semiflexibility effect

Spin–lattice NMR relaxation rate vs. reversed temperature for terminal and inner CH₂ groups of n = 2 and 4 generation poly-l-lysine dendrimers.

AMBER-DYES: Characterization of Charge Fluctuations and Force Field Parameterization of Fluorescent Dyes for Molecular Dynamics Simulations

Recent advances in single molecule fluorescence experiments and theory allow a direct comparison and improved interpretation of experiment and simulation. To this end, force fields for a larger number of dyes are required which are compatible with and can be integrated into existing biomolecular force fields. Here, we developed, characterized, and implemented AMBER-DYES, a modular fluorescent label force field, for a set of 22 fluorescent dyes and their linkers from the Alexa, Atto, and Cy families, which are in common use for single molecule spectroscopy experiments. The force field is compatible with the AMBER protein force fields and the GROMACS molecular dynamics simulation program. The high electronic polarizability of the delocalized π-electron orbitals, as found in many fluorescent dyes, poses a particular challenge to point charge based force fields such as AMBER. To quantify the charge fluctuations due to the electronic polarizability, we simulated the 22 dyes in explicit solvent and sampled the charge fluctuations using QM/MM simulations at the B3LYP/6-31G*//TIP3P level of theory. The analysis of the simulations enabled us to derive ensemble fitted RESP charges from the solvated charge distributions of multiple trajectories. We observed broad, single peaked charge distributions for the conjugated ring atoms with well-defined mean values. The charge fitting procedure was validated against published charges of the dyelike amino acid tryptophan, which showed good agreement with existing tryptophan parameters from the AMBER, CHARMM, and OPLS force field families. A principal component analysis of the charge fluctuations revealed that a small number of collective coordinates suffices to describe most of the in-plane dye polarizability. The AMBER-DYES force field allows the rapid preparation of all atom molecular dynamics simulations of fluorescent systems for state of the art multi microsecond trajectories.

Dominance of misfolded intermediates in the dynamics of α-helix folding

Helices are the "hydrogen atoms" of biomolecular complexity; the DNA/RNA double hairpin and protein α-helix ubiquitously form the building blocks of life's constituents at the nanometer scale. Nevertheless, the formation processes of these structures, especially the dynamical pathways and rates, remain challenging to predict and control. Here, we present a general analytical method for constructing dynamical free-energy landscapes of helices. Such landscapes contain information about the thermodynamic stabilities of the possible macromolecular conformations, as well as about the dynamic connectivity, thus enabling the visualization and computation of folding pathways and timescales. We elucidate the methodology using the folding of polyalanine, and demonstrate that its α-helix folding kinetics is dominated by misfolded intermediates. At the physiological temperature of T = 298 K and midfolding time t = 250 ns, the fraction of structures in the native-state (α-helical) basin equals 22%, which is in good agreement with time-resolved experiments and massively distributed, ensemble-convergent molecular-dynamics simulations. We discuss the prominent role of β-strand-like intermediates in flight toward the native fold, and in relation to the primary conformational change precipitating aggregation in some neurodegenerative diseases.

Looking at human cytosolic sialidase NEU2 structural features with an interdisciplinary approach

Circular dichroism (CD) spectra at variable temperatures have been recorded for human cytosolic sialidase NEU2 in buffered water solutions and in the presence of divalent cations. The results show the prevalence of β-strands together with a considerable amount of α-helical structure, while in the solid state, from both previous X-ray diffraction analysis and our CD data on film samples, the content of β-strands is higher. In solution, a significant change in CD spectra occurs with an increase in temperature, related to a decrease in α-helix content and a slight increase in β-strand content. In the same range of temperatures, the enzymatic activity decreases. Although the overall structure of the protein appears to be particularly stable, molecular dynamics simulations performed at various temperatures evidence local conformational changes possibly relevant for explaining the relative lability of enzymatic activity.

Insight into HIV-1 reverse transcriptase-aptamer interaction from molecular dynamics simulations

Human immunodeficiency virus-1 reverse transcriptase (HIV-1 RT) is considered to be one of the key targets for antiviral drug therapy. The emergence of the aptamers as potential inhibitors against HIV-1 reverse transcriptase has attracted the attention of the scientific community because these macromolecules can effectively inhibit HIV-1 RT with between micromolar to picomolar concentrations. However, it is not clear how aptamers interact with HIV-1 RT. We have undertaken a molecular dynamics (MD) study in order to gain a keen insight into the conformational dynamics of HIV-1 RT on the formation of a complex with an aptamer or DNA substrate. We have therefore employed three separate models: apo HIV-1 RT, HIV-1 RT with a bound RNA aptamer, and HIV-1 RT with a bound DNA substrate. The results show that HIV-1 RT complex with an aptamer was more stable than that with DNA substrate. It was found that the aptamer interacted with HIV-1 RT in a fingers-and-thumb-closed conformation, at the bound at the nucleic acid substrate binding site. We identified key residues within the HIV-1 RT-aptamer complex in order to help design, develop, and test a new aptamer based on therapies in the future.

Dynamic protein conformations preferentially drive energy transfer along the active chain of the photosystem II reaction centre

One longstanding puzzle concerning photosystem II, a core component of photosynthesis, is that only one of the two symmetric branches in its reaction centre is active in electron transfer. To investigate the effect of the photosystem II environment on the preferential selection of the energy transfer pathway (a prerequisite for electron transfer), we have constructed an exciton model via extensive molecular dynamics simulations and quantum mechanics/molecular mechanics calculations based on a recent X-ray structure. Our results suggest that it is essential to take into account an ensemble of protein conformations to accurately compute the site energies. We identify the cofactor CLA606 of active chain as the most probable site for the energy excitation. We further pinpoint a number of charged protein residues that collectively lower the CLA606 site energy. Our work provides insights into the understanding of molecular mechanisms of the core machinery of the green-plant photosynthesis.

Cofactor-mediated energy and electron transfer in photosystem II occurs preferentially through one branch of the reaction centre, despite there being a symmetric path available. Here, the authors use computational methods to determine the influence of protein conformation on this selectivity.

Detailed microscopic unfolding pathways of an α-helix and a β-hairpin: direct observation and molecular dynamics

We present a combined experimental and computational study of unfolding pathways of a model 21-residue α-helical heteropeptide (W1H5-21) and a 16-residue β-hairpin (GB41-56). Experimentally, we measured fluorescence energy transfer efficiency as a function of temperature, employing natural tryptophans as donors and dansylated lysines as acceptors. Secondary structural analysis was performed with circular dichroism and Fourier transform infrared spectroscopy. Our studies present markedly different unfolding pathways of the two elementary secondary structural elements. During thermal denaturation, the helical peptide exhibits an initial decrease in length, followed by an increase, while the hairpin undergoes a systematic increase in length. In the complementary computational part of the project, we performed microsecond length replica-exchange molecular dynamics simulations of the peptides in explicit solvent, yielding a detailed microscopic picture of the unfolding processes. For the α-helical peptide, we found a large heterogeneous population of intermediates that are primarily frayed single helices or helix-turn-helix motifs. Unfolding starts at the termini and proceeds through a stable helical region in the interior of the peptide but shifted off-center toward the C-terminus. The simulations explain the experimentally observed non-monotonic variation of helix length with temperature as due primarily to the presence of frayed-end single-helix intermediate structures. For the β-hairpin peptide, our simulations indicate that folding is initiated at the turn, followed by formation of the hairpin in zipper-like fashion, with Cα···Cα contacts propagating from the turn to termini and hairpin hydrogen bonds forming in parallel with these contacts. In the early stages of hairpin formation, the hydrophobic side-chain contacts are only partly populated. Intermediate structures with low numbers of β-hairpin hydrogen bonds have very low populations. This is in accord with the "broken zipper" model of Scheraga. The monotonic increase in length with temperature may be explained by the zipper-like breaking of the hairpin hydrogen bonds and backbone contacts.

Using Markov state models to study self-assembly

Markov state models (MSMs) have been demonstrated to be a powerful method for computationally studying intramolecular processes such as protein folding and macromolecular conformational changes. In this article, we present a new approach to construct MSMs that is applicable to modeling a broad class of multi-molecular assembly reactions. Distinct structures formed during assembly are distinguished by their undirected graphs, which are defined by strong subunit interactions. Spatial inhomogeneities of free subunits are accounted for using a recently developed Gaussian-based signature. Simplifications to this state identification are also investigated. The feasibility of this approach is demonstrated on two different coarse-grained models for virus self-assembly. We find good agreement between the dynamics predicted by the MSMs and long, unbiased simulations, and that the MSMs can reduce overall simulation time by orders of magnitude.

Dissecting the critical factors for thermodynamic stability of modular proteins using molecular modeling approach

Repeat proteins have recently attracted much attention as alternative scaffolds to immunoglobulin antibodies due to their unique structural and biophysical features. In particular, repeat proteins show high stability against temperature and chaotic agents. Despite many studies, structural features for the stability of repeat proteins remain poorly understood. Here we present an interesting result from in silico analyses pursuing the factors which affect the stability of repeat proteins. Previously developed repebody structure based on variable lymphocytes receptors (VLRs) which consists of leucine-rich repeat (LRR) modules was used as initial structure for the present study. We constructed extra six repebody structures with varying numbers of repeat modules and those structures were used for molecular dynamics simulations. For the structures, the intramolecular interactions including backbone H-bonds, van der Waals energy, and hydrophobicity were investigated and then the radius of gyration, solvent-accessible surface area, ratio of secondary structure, and hydration free energy were also calculated to find out the relationship between the number of LRR modules and stability of the protein. Our results show that the intramolecular interactions lead to more compact structure and smaller surface area of the repebodies, which are critical for the stability of repeat proteins. The other features were also well compatible with the experimental results. Based on our observations, the repebody-5 was proposed as the best structure from the all repebodies in structure optimization process. The present study successfully demonstrated that our computer-based molecular modeling approach can significantly contribute to the experiment-based protein engineering challenge.

Exploring the free energy landscape of a model β-hairpin peptide and its isoform

Secondary structural transitions from α-helix to β-sheet conformations are observed in several misfolding diseases including Alzheimer's and Parkinson's. Determining factors contributing favorably to the formation of each of these secondary structures is therefore essential to better understand these disease states. β-hairpin peptides form basic components of anti-parallel β-sheets and are suitable model systems for characterizing the fundamental forces stabilizing β-sheets in fibrillar structures. In this study, we explore the free energy landscape of the model β-hairpin peptide GB1 and its E2 isoform that preferentially adopts α-helical conformations at ambient conditions. Umbrella sampling simulations using all-atom models and explicit solvent are performed over a large range of end-to-end distances. Our results show the strong preference of GB1 and the E2 isoform for β-hairpin and α-helical conformations, respectively, consistent with previous studies. We show that the unfolded states of GB1 are largely populated by misfolded β-hairpin structures which differ from each other in the position of the β-turn. We discuss the energetic factors contributing favorably to the formation of α-helix and β-hairpin conformations in these peptides and highlight the energetic role of hydrogen bonds and non-bonded interactions.

Isomerization of Δ5-androstene-3,17-dione into Δ4-androstene-3,17-dione catalyzed by human glutathione transferase A3-3: a computational study identifies a dual role for glutathione

Glutathione transferases (GSTs) are important enzymes in the metabolism of electrophilic xenobiotic and endobiotic toxic compounds. In addition, human GST A3-3 also catalyzes the double bond isomerization of Δ5-androstene-3,17-dione (Δ(5)-AD) and Δ(5)-pregnene-3,20-dione (Δ(5)-PD), which are the immediate precursors of testosterone and progesterone. In fact, GST A3-3 is the most efficient human enzyme known to exist in the catalysis of these reactions. In this work, we have used density functional theory (DFT) calculations to propose a refined mechanism for the isomerization of Δ(5)-AD catalyzed by GST A3-3. In this mechanism the glutathione (GSH) thiol and Tyr9 catalyze the proton transfer from the Δ(5)-AD C4 atom to the Δ(5)-AD C6 atom, with a rate limiting activation energy of 15.8 kcal · mol(-1). GSH has a dual function, because it is also responsible for stabilizing the negative charge that is formed in the O3 atom of the enolate intermediate. The catalytic role of Tyr9 depends on significant conformational rearrangements of its side chain. Neither of these contributions to catalysis has been observed before. Residues Phe10, Leu111, Ala 208, and Ala 216 complete the list of the important catalytic residues. The mechanism detailed here is based on the GST A3-3:GSH:Δ(4)-AD crystal structure and is consistent with all available experimental data.

WATsite: hydration site prediction program with PyMOL interface

Water molecules that mediate protein-ligand interactions or are released from the binding site on ligand binding can contribute both enthalpically and entropically to the free energy of ligand binding. To elucidate the thermodynamic profile of individual water molecules and their potential contribution to ligand binding, a hydration site analysis program WATsite was developed together with an easy-to-use graphical user interface based on PyMOL. WATsite identifies hydration sites from a molecular dynamics simulation trajectory with explicit water molecules. The free energy profile of each hydration site is estimated by computing the enthalpy and entropy of the water molecule occupying a hydration site throughout the simulation. The results of the hydration site analysis can be displayed in PyMOL. A key feature of WATsite is that it is able to estimate the protein desolvation free energy for any user specified ligand. The WATsite program and its PyMOL plugin are available free of charge from http://people.pnhs.purdue.edu/~mlill/software.

Unfolding and conformational variations of thrombin-binding DNA aptamers: synthesis, circular dichroism and molecular dynamics simulations

Thrombin-binding DNA aptamer (TBA), with a consensus 15-base sequence: d(GGTTGGTGTGGTTGG), can fold into an antiparallel unimolecular G-quadruplex structure that is necessary for its interaction with thrombin. For the first time, using steered molecular dynamics (SMD) simulations, we have successfully simulated the unfolding process of native TBA G-quadruplex. The unfolding pathway proposed is in agreement with previously reported experimental NMR data. Moreover, the critical intermediate structure in the unfolding pathway, predicted by the NMR results, was identified. The structural characteristics of several TBA oligonucleotides modified with locked nucleoside (LNA) or 2'-O-methyl-nucleoside (MNA) at different positions and number were also investigated by CD spectroscopy. An oligonucleotide substituted with either LNA or MNA at position 2 folds into a native-like G-quadruplex, while doubly substituted derivatives of TBA where LNA or MNA is incorporated at positions 11 and 14 are no longer able to form a G-quadruplex. Starting from the same initial intermediate structure, we successfully overcame sampling limitations, and simulated the large conformational variations in structures of native TBA and modified TBAs by classic MD. Analysis of the models showed that inversion of the glycosyl orientation at position 14 contributes significantly to the disruption of G-quadruplex formation in both of the di-substituted modified TBA systems. Our calculations provide a simple and reliable theoretical model that can be used to investigate and predict the effects of the modifications of an oligonucleotide on the resultant G-quadruplex structure. In addition, the computational protocol described can also be applied for other G-quadruplex systems.

Mutations to a glycine loop in the catalytic site of human Lon changes its protease, peptidase and ATPase activities

Lon, also called protease La, is an ATP-dependent protease present in all kingdoms of life. It is involved in protein quality control and several regulatory processes. Eukaryotic Lon possesses three domains, an N-terminal domain, an ATPase domain and a proteolytic domain. It requires ATP hydrolysis to digest larger, intact proteins, but can cleave small, fluorogenic peptides such as Glu-Ala-Ala-Phe-MNA by only binding, but not hydrolyzing, ATP. Both ATPase and peptidase activities can be stimulated by the binding of a larger protein substrate, such as β-casein. To better understand its mechanism of action, we have prepared several point mutants of four conserved residues of human Lon (G893A, G893P, G894A, G894P, G894S, G893A-G894A, G893P-G894A, G893A-G894P, T880V, W770A, W770P) and studied their ATPase, protease and peptidase activities. Our results show that mutations to Gly894 enhance its basal ATPase activity but do not change its β-casein-stimulated activity. The loop containing Gly893 and Gly894, which flanks Lon's proteolytic active site, therefore appears to be involved in the conformational change that occurs upon substrate binding. Furthermore, mutations to Trp770 have the same general effects on the ATPase activity as mutations to Gly893, indicating that Trp770 is involved in ATPase stimulation. We have also established that this loop does not need to move in order to cleave small, fluorogenic peptides, but does move during the digestion of β-casein. Finally, we also noted that Lon's ability to digest small peptides can be inhibited by moderate ATP concentrations.

DATABASE

Lon (Endopeptidase La), EC 4.4.21.53 STRUCTURED DIGITAL ABSTRACT: • hLonP cleaves beta casein by protease assay (1, 2, 3, 4, 5, 6) • hLon and hLon bind by cross-linking study (View interaction).

BCR-ABL residues interacting with ponatinib are critical to preserve the tumorigenic potential of the oncoprotein

Patients with chronic myeloid leukemia in whom tyrosine kinase inhibitors (TKIs) fail often present mutations in the BCR-ABL catalytic domain. We noticed a lack of substitutions involving 4 amino acids (E286, M318, I360, and D381) that form hydrogen bonds with ponatinib. We therefore introduced mutations in each of these residues, either preserving or altering their physicochemical properties. We found that E286, M318, I360, and D381 are dispensable for ABL and BCR-ABL protein stability but are critical for preserving catalytic activity. Indeed, only a "conservative" I360T substitution retained kinase proficiency and transforming potential. Molecular dynamics simulations of BCR-ABL(I360T) revealed differences in both helix αC dynamics and protein-correlated motions, consistent with a modified ATP-binding pocket. Nevertheless, this mutant remained sensitive to ponatinib, imatinib, and dasatinib. These results suggest that changes in the 4 BCR-ABL residues described here would be selected against by a lack of kinase activity or by maintained responsiveness to TKIs. Notably, amino acids equivalent to those identified in BCR-ABL are conserved in 51% of human tyrosine kinases. Hence, these residues may represent an appealing target for the design of pharmacological compounds that would inhibit additional oncogenic tyrosine kinases while avoiding the emergence of resistance due to point mutations.

Urea induced unfolding dynamics of flavin adenine dinucleotide (FAD): spectroscopic and molecular dynamics simulation studies from femto-second to nanosecond regime

Here, we investigate the effect of urea in the unfolding dynamics of flavin adenine dinucleotide (FAD), an important enzymatic cofactor, through steady state, time-resolved fluorescence spectroscopic and molecular dynamics (MD) simulation studies. Steady state results indicate the possibility of urea induced unfolding of FAD, inferred from increasing emission intensity of FAD with urea. The TCSPC and up-conversion results suggest that the stack-unstack dynamics of FAD severely gets affected in the presence of urea and leads to an increase in the unstack conformation population from 15% in pure water to 40% in 12 M urea. Molecular dynamics simulation was employed to understand the nature of the interaction between FAD and urea at the molecular level. Results depict that urea molecules replace many of the water molecules around adenine and isoalloxazine rings of FAD. However, the major driving force for the stability of this unstack conformations arises from the favorable stacking interaction of a significant fraction of the urea molecules with adenine and isoalloxazine rings of FAD, which overcomes the intramolecular stacking interaction between themselves observed in pure water.

Drug promiscuity of P-glycoprotein and its mechanism of interaction with paclitaxel and doxorubicin

P-glycoprotein (P-gp) pumps a broad range of structurally diverse anti-cancer drugs out of cancer cells. Therefore, multi-drug resistance (MDR) in chemotherapy closely correlates with P-gp. However, how this single transport system recognizes different substrates remains unclear. In this study, we attempt to uncover the mechanism of substrate promiscuity of P-gp by atomistic molecular dynamics simulations. Results indicate that different drugs like paclitaxel and doxorubicin approach the putative binding site of P-gp, and the inner residues are found to be important in this process. An obstacle-overcoming process was observed, illustrating that the inner residues are flexible. Interaction energy calculations suggest that the inner residues possess high affinity toward substrates. The cavity of adaptability to accommodate different drugs would help explain why P-gp has so many different substrates.

A method of determining RNA conformational ensembles using structure-based calculations of residual dipolar couplings

We describe a method of determining the conformational fluctuations of RNA based on the incorporation of nuclear magnetic resonance (NMR) residual dipolar couplings (RDCs) as replica-averaged structural restraints in molecular dynamics simulations. In this approach, the alignment tensor required to calculate the RDCs corresponding to a given conformation is estimated from its shape, and multiple replicas of the RNA molecule are simulated simultaneously to reproduce in silico the ensemble-averaging procedure performed in the NMR measurements. We provide initial evidence that with this approach it is possible to determine accurately structural ensembles representing the conformational fluctuations of RNA by applying the reference ensemble test to the trans-activation response element of the human immunodeficiency virus type 1.

Non-exponential kinetics and a complete folding pathway of an α-helical heteropeptide: direct observation and comprehensive molecular dynamics

We have performed a combined experimental and computational study of the folding of a 21-residue α-helix-forming heteropeptide (WH21). Temperature jump kinetics with improved dynamic range at several temperatures revealed non-exponential relaxation that could be well described with two time constants of 20 and 300 ns at 298 K. In the computational part, we performed multi-microsecond molecular dynamics simulations of WH21 in explicit water, using the AMBER03 and OPLS/AA potentials. The simulations were in good agreement with available experimental data on helix content and relaxation times. On the basis of 70 individual transitions, we identified the main pathways of helix unfolding. Three paths were found in both force fields, with unfolding progressing through (1) N-terminus, C-terminus, and center; (2) C-terminus, N-terminus, and center; and (3) C-terminus, center, and N-terminus. An additional fourth path starting in the central region and expanding to the termini was detected only with AMBER03. Intermediate structures sampled along the pathway included a central helix with frayed termini, an off-center helix, and a helical hairpin. The simulations suggest that the short relaxation should be assigned to partly cooperative fluctuations of several neighboring hydrogen bonds. Overall, by a combination of ultrafast kinetic measurements and detailed microscopic description through comprehensive molecular dynamics, we have obtained important new insights into the helix folding process.

Searching for protein binding sites from Molecular Dynamics simulations and paramagnetic fragment-based NMR studies

Hotspot delineation on protein surfaces represents a fundamental step for targeting protein-protein interfaces. Disruptors of protein-protein interactions can be designed provided that the sterical features of binding pockets, including the transient ones, can be defined. Molecular Dynamics, MD, simulations have been used as a reliable framework for identifying transient pocket openings on the protein surface. Accessible surface area and intramolecular H-bond involvement of protein backbone amides are proposed as descriptors for characterizing binding pocket occurrence and evolution along MD trajectories. TEMPOL induced paramagnetic perturbations on (1)H-(15)N HSQC signals of protein backbone amides have been analyzed as a fragment-based search for surface hotspots, in order to validate MD predicted pockets. This procedure has been applied to CXCL12, a small chemokine responsible for tumor progression and proliferation. From combined analysis of MD data and paramagnetic profiles, two CXCL12 sites suitable for the binding of small molecules were identified. One of these sites is the already well characterized CXCL12 region involved in the binding to CXCR4 receptor. The other one is a transient pocket predicted by Molecular Dynamics simulations, which could not be observed from static analysis of CXCL12 PDB structures. The present results indicate how TEMPOL, instrumental in identifying this transient pocket, can be a powerful tool to delineate minor conformations which can be highly relevant in dynamic discovery of antitumoral drugs.

The influence of N-linked glycans on the molecular dynamics of the HIV-1 gp120 V3 loop

N-linked glycans attached to specific amino acids of the gp120 envelope trimer of a HIV virion can modulate the binding affinity of gp120 to CD4, influence coreceptor tropism, and play an important role in neutralising antibody responses. Because of the challenges associated with crystallising fully glycosylated proteins, most structural investigations have focused on describing the features of a non-glycosylated HIV-1 gp120 protein. Here, we use a computational approach to determine the influence of N-linked glycans on the dynamics of the HIV-1 gp120 protein and, in particular, the V3 loop. We compare the conformational dynamics of a non-glycosylated gp120 structure to that of two glycosylated gp120 structures, one with a single, and a second with five, covalently linked high-mannose glycans. Our findings provide a clear illustration of the significant effect that N-linked glycosylation has on the temporal and spatial properties of the underlying protein structure. We find that glycans surrounding the V3 loop modulate its dynamics, conferring to the loop a marked propensity towards a more narrow conformation relative to its non-glycosylated counterpart. The conformational effect on the V3 loop provides further support for the suggestion that N-linked glycosylation plays a role in determining HIV-1 coreceptor tropism.

Molecular basis for the targeted binding of RGD-containing peptide to integrin αVβ3

Integrin αVβ3-targeting peptides with an exposed arginine-glycine-aspartate (RGD) sequence play a crucial role in targeted anticancer drug delivery. The effects of RGD-containing peptide structure and quantity on mechanism of targeted binding of RGD-containing peptide to integrin αVβ3 were studied intensively at the molecular level via molecular dynamic simulations. Targeted recognization was mainly driven by the electrostatic interactions between the residues in RGD and the metal ions in integrin αVβ3, and cyclic arginine-glycine-aspartate-phenylalanine-valine (RGDFV) peptide appeared to be a better vector than the linear RGD-containing peptides. In addition, the optimal molar concentration ratio of RGD peptides to integrin αVβ3 appeared to be 2:1. These results will help improve the current understanding on the mechanism of interactions between RGD and integrin αVβ3, and promote the application prospects of RGD-based vectors in tumor imaging, diagnosis, and cancer therapy.

Functional validation of virtual screening for novel agents with general anesthetic action at ligand-gated ion channels

GABA(A) receptors play a crucial role in the actions of general anesthetics. The recently published crystal structure of the general anesthetic propofol bound to Gloeobacter violaceus ligand-gated ion channel (GLIC), a bacterial homolog of GABA(A) receptors, provided an opportunity to explore structure-based ligand discovery for pentameric ligand-gated ion channels (pLGICs). We used molecular docking of 153,000 commercially available compounds to identify molecules that interact with the propofol binding site in GLIC. In total, 29 compounds were selected for functional testing on recombinant GLIC, and 16 of these compounds modulated GLIC function. Active compounds were also tested on recombinant GABA(A) receptors, and point mutations around the presumed binding pocket were introduced into GLIC and GABA(A) receptors to test for binding specificity. The potency of active compounds was only weakly correlated with properties such as lipophilicity or molecular weight. One compound was found to mimic the actions of propofol on GLIC and GABA(A), and to be sensitive to mutations that reduce the action of propofol in both receptors. Mutant receptors also provided insight about the position of the binding sites and the relevance of the receptor's conformation for anesthetic actions. Overall, the findings support the feasibility of the use of virtual screening to discover allosteric modulators of pLGICs, and suggest that GLIC is a valid model system to identify novel GABA(A) receptor ligands.

Substrate dynamics in enzyme action: rotations of monosaccharide subunits in the binding groove are essential for pectin methylesterase processivity

The dynamical behavior of biomacromolecules is a fundamental property regulating a large number of biological processes. Protein dynamics have been widely shown to play a role in enzyme catalysis; however, the interplay between substrate dynamics and enzymatic activity is less understood. We report insights into the role of dynamics of substrates in the enzymatic activity of PME from Erwinia chrysanthemi, a processive enzyme that catalyzes the hydrolysis of methylester groups from the galacturonic acid residues of homogalacturonan chains, the major component of pectin. Extensive molecular dynamics simulations of this PME in complex with decameric homogalacturonan chains possessing different degrees and patterns of methylesterification show how the carbohydrate substitution pattern governs the dynamics of the substrate in the enzyme's binding cleft, such that substrate dynamics represent a key prerequisite for the PME biological activity. The analyses reveal that correlated rotations around glycosidic bonds of monosaccharide subunits at and immediately adjacent to the active site are a necessary step to ensure substrate processing. Moreover, only substrates with the optimal methylesterification pattern attain the correct dynamical behavior to facilitate processive catalysis. This investigation is one of the few reported examples of a process where the dynamics of a substrate are vitally important.

Mechanism of glutathione transferase P1-1-catalyzed activation of the prodrug canfosfamide (TLK286, TELCYTA)

Canfosfamide (TLK286, TELCYTA) is a prodrug that upon activation by glutathione transferase P1-1 (GST P1-1) yields an anticancer alkylating agent and a glutathione derivative. The rationale underlying the use of TLK286 in chemotherapy is that tumor cells overexpressing GST P1-1 will be locally exposed to the released alkylating agent with limited collateral toxicity to the surrounding normal tissues. TLK286 has demonstrated clinical effects in phase II and III clinical trials for the treatment of malignancies, such as ovarian cancer, nonsmall cell lung cancer, and breast cancer, as a single agent and in combination with other chemotherapeutic agents. In spite of these promising results, the detailed mechanism of GST P1-1 activation of the prodrug has not been elucidated. Here, we propose a mechanism for the TLK286 activation by GST P1-1 on the basis of density functional theory (DFT) and on potential of mean force (PMF) calculations. A catalytic water molecule is instrumental to the activation by forming a network of intermolecular interactions between the active-site Tyr7 hydroxyl and the sulfone and COO(-) groups of TLK286. The results obtained are consistent with the available experimental kinetic data and provide an atomistic understanding of the TLK286 activation mechanism.

Predicting the Thermodynamics and Kinetics of Helix Formation in a Cyclic Peptide Model

The peptide Ac-(cyclo-2,6)-R[KAAAD]-NH2 (cyc-RKAAAD) is a short cyclic peptide known to adopt a remarkably stable single turn α-helix in water. Due to its simplicity and the availability of thermodynamic and kinetic experimental data, cyc-RKAAAD poses as an ideal model for evaluating the aptness of current molecular dynamics (MD) simulation methodologies to accurately sample conformations that reproduce experimentally observed properties. In this work, we extensively sample the conformational space of cyc-RKAAAD using microsecond-timescale MD simulations. We characterize the peptide conformational preferences in terms of secondary structure propensities and, using Cartesian-coordinate principal component analysis (cPCA), construct its free energy landscape, thus obtaining a detailed weighted discrimination between the helical and nonhelical subensembles. The cPCA state discrimination, together with a Markov model built from it, allowed us to estimate the free energy of unfolding (-0.57 kJ/mol) and the relaxation time (∼0.435 μs) at 298.15 K, which are in excellent agreement with the experimentally reported values (-0.22 kJ/mol and 0.42 μs, Serrano, A. L.; Tucker, M. J.; Gai, F. J. Phys. Chem. B, 2011, 115, 7472-7478.). Additionally, we present simulations conducted using two enhanced sampling methods: replica-exchange molecular dynamics (REMD) and bias-exchange metadynamics (BE-MetaD). We compare the free energy landscape obtained by these two methods with the results from MD simulations and discuss the sampling and computational gains achieved. Overall, the results obtained attest to the suitability of modern simulation methods to explore the conformational behavior of peptide systems with a high level of realism.

Catch bond-like kinetics of helix cracking: network analysis by molecular dynamics and milestoning

The first events of unfolding of secondary structure under load are considered with Molecular Dynamics simulations and Milestoning analysis of a long helix (126 amino acids). The Mean First Passage Time is a non-monotonic function of the applied load with a maximum of 3.6 ns at about 20 pN. Network analysis of the reaction space illustrates the opening and closing of an off-pathway trap that slows unfolding at intermediate load levels. It is illustrated that the nature of the reaction networks changes as a function of load, demonstrating that the process is far from one-dimensional.

Motional timescale predictions by molecular dynamics simulations: case study using proline and hydroxyproline sidechain dynamics

We propose a new approach for force field optimizations which aims at reproducing dynamics characteristics using biomolecular MD simulations, in addition to improved prediction of motionally averaged structural properties available from experiment. As the source of experimental data for dynamics fittings, we use ¹³C NMR spin-lattice relaxation times T₁ of backbone and sidechain carbons, which allow to determine correlation times of both overall molecular and intramolecular motions. For structural fittings, we use motionally averaged experimental values of NMR J couplings. The proline residue and its derivative 4-hydroxyproline with relatively simple cyclic structure and sidechain dynamics were chosen for the assessment of the new approach in this work. Initially, grid search and simplexed MD simulations identified large number of parameter sets which fit equally well experimental J couplings. Using the Arrhenius-type relationship between the force constant and the correlation time, the available MD data for a series of parameter sets were analyzed to predict the value of the force constant that best reproduces experimental timescale of the sidechain dynamics. Verification of the new force-field (termed as AMBER99SB-ILDNP) against NMR J couplings and correlation times showed consistent and significant improvements compared to the original force field in reproducing both structural and dynamics properties. The results suggest that matching experimental timescales of motions together with motionally averaged characteristics is the valid approach for force field parameter optimization. Such a comprehensive approach is not restricted to cyclic residues and can be extended to other amino acid residues, as well as to the backbone. Proteins 2014; 82:195–215. © 2013 Wiley Periodicals, Inc.

The intrinsic conformational features of amino acids from a protein coil library and their applications in force field development

The local conformational (φ, ψ, χ) preferences of amino acid residues remain an active research area, which are important for the development of protein force fields. In this perspective article, we first summarize spectroscopic studies of alanine-based short peptides in aqueous solution. While most studies indicate a preference for the P(II) conformation in the unfolded state over α and β conformations, significant variations are also observed. A statistical analysis from various coil libraries of high-resolution protein structures is then summarized, which gives a more coherent view of the local conformational features. The φ, ψ, χ distributions of the 20 amino acids have been obtained from a protein coil library, considering both backbone and side-chain conformational preferences. The intrinsic side-chain χ(1) rotamer preference and χ(1)-dependent Ramachandran plot can be generally understood by combining the interaction of the side-chain Cγ/Oγ atom with two neighboring backbone peptide groups. Current all-atom force fields such as AMBER ff99sb-ILDN, ff03 and OPLS-AA/L do not reproduce these distributions well. A method has been developed by combining the φ, ψ plot of alanine with the influence of side-chain χ(1) rotamers to derive the local conformational features of various amino acids. It has been further applied to improve the OPLS-AA force field. The modified force field (OPLS-AA/C) reproduces experimental (3)J coupling constants for various short peptides quite well. It also better reproduces the temperature-dependence of the helix-coil transition for alanine-based peptides. The new force field can fold a series of peptides and proteins with various secondary structures to their experimental structures. MD simulations of several globular proteins using the improved force field give significantly less deviation (RMSD) to experimental structures. The results indicate that the local conformational features from coil libraries are valuable for the development of balanced protein force fields.

Molecular mechanism of the camptothecin resistance of Glu710Gly topoisomerase IB mutant analyzed in vitro and in silico

BACKGROUND

DNA topoisomerases are key enzymes that modulate the topological state of DNA through the breaking and rejoining of DNA strands. Human topoisomerase IB can be inhibited by several compounds that act through different mechanisms, including clinically used drugs, such as the derivatives of the natural compound camptothecin that reversibly bind the covalent topoisomerase-DNA complex, slowing down the religation of the cleaved DNA strand, thus inducing cell death. Three enzyme mutations, which confer resistance to irinotecan in an adenocarcinoma cell line, were recently identified but the molecular mechanism of resistance was unclear.

METHODS

The three resistant mutants have been investigated in S. cerevisiae model system following their viability in presence of increasing amounts of camptothecin. A systematical analysis of the different catalytic steps has been made for one of these mutants (Glu710Gly) and has been correlated with its structural-dynamical properties studied by classical molecular dynamics simulation.

RESULTS

The three mutants display a different degree of camptothecin resistance in a yeast cell viability assay. Characterization of the different steps of the catalytic cycle of the Glu710Gly mutant indicated that its resistance is related to a high religation rate that is hardly affected by the presence of the drug. Analysis of the dynamic properties through simulation indicate that the mutant displays a much lower degree of correlation in the motion between the different protein domains and that the linker almost completely loses its correlation with the C-terminal domain, containing the active site tyrosine.

CONCLUSIONS

These results indicate that a fully functional linker is required to confer camptothecin sensitivity to topoisomerase I since the destabilization of its structural-dynamical properties is correlated to an increase of religation rate and drug resistance.

Network and atomistic simulations unveil the structural determinants of mutations linked to retinal diseases

A number of incurable retinal diseases causing vision impairments derive from alterations in visual phototransduction. Unraveling the structural determinants of even monogenic retinal diseases would require network-centered approaches combined with atomistic simulations. The transducin G38D mutant associated with the Nougaret Congenital Night Blindness (NCNB) was thoroughly investigated by both mathematical modeling of visual phototransduction and atomistic simulations on the major targets of the mutational effect. Mathematical modeling, in line with electrophysiological recordings, indicates reduction of phosphodiesterase 6 (PDE) recognition and activation as the main determinants of the pathological phenotype. Sub-microsecond molecular dynamics (MD) simulations coupled with Functional Mode Analysis improve the resolution of information, showing that such impairment is likely due to disruption of the PDEγ binding cavity in transducin. Protein Structure Network analyses additionally suggest that the observed slight reduction of theRGS9-catalyzed GTPase activity of transducin depends on perturbed communication between RGS9 and GTP binding site. These findings provide insights into the structural fundamentals of abnormal functioning of visual phototransduction caused by a missense mutation in one component of the signaling network. This combination of network-centered modeling with atomistic simulations represents a paradigm for future studies aimed at thoroughly deciphering the structural determinants of genetic retinal diseases. Analogous approaches are suitable to unveil the mechanism of information transfer in any signaling network either in physiological or pathological conditions.