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Maximiano MR, Rezende SB, Rios TB, Leite ML, Vilas Boas LCP, da Cunha NB, Pires ÁDS, Cardoso MH, Franco OL. Screening for cysteine-stabilized scaffolds for developing proteolytic-resistant AMPs. Methods Enzymol 2022; 663:67-98. [PMID: 35168798 DOI: 10.1016/bs.mie.2021.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Antimicrobial peptides (AMP) are present in all organisms and can present several activities and potential applications in human and animal health. Screening these molecules scaffolds represents a key point for discovering and developing novel biotechnological products, including antimicrobial, antiviral and anticancer drugs candidates and insecticidal molecules with potential applications in agriculture. Therefore, considering the amount of biological data currently deposited on public databases, computational approaches have been commonly used to predicted and identify novel cysteine-rich peptides scaffolds with known or unknown biological properties. Here, we describe a step-by-step in silico screening for cysteine-rich peptides employing molecular modeling (with a core focus on comparative modeling) and atomistic molecular dynamics simulations. Moreover, we also present the concept of additional tools aiming at the computer-aided screening of new Cs-AMPs based drug candidates. After the computational screening and peptide chemical synthesis, we also provide the reader with a step-by-step in vitro activity evaluation of these candidates, including antibacterial, antifungal, and antiviral assays.
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Affiliation(s)
- Mariana Rocha Maximiano
- S-Inova Biotech, Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Brazil; Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil
| | - Samilla Beatriz Rezende
- S-Inova Biotech, Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Brazil
| | - Thuanny Borba Rios
- S-Inova Biotech, Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Brazil; Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil
| | - Michel Lopes Leite
- Departamento de Biologia Molecular, Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, Brazil
| | - Liana Costa Pereira Vilas Boas
- Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil; Programa de Pós-Graduação em Patologia Molecular, Universidade de Brasília, Brasília, Brazil
| | - Nicolau Brito da Cunha
- Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil
| | - Állan da Silva Pires
- Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil
| | - Marlon Henrique Cardoso
- S-Inova Biotech, Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Brazil; Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil
| | - Octávio Luiz Franco
- S-Inova Biotech, Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Brazil; Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil; Programa de Pós-Graduação em Patologia Molecular, Universidade de Brasília, Brasília, Brazil.
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Torres MDT, Cao J, Franco OL, Lu TK, de la Fuente-Nunez C. Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery. ACS NANO 2021; 15:2143-2164. [PMID: 33538585 PMCID: PMC8734659 DOI: 10.1021/acsnano.0c09509] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Antibiotic resistance is one of the greatest challenges of our time. This global health problem originated from a paucity of truly effective antibiotic classes and an increased incidence of multi-drug-resistant bacterial isolates in hospitals worldwide. Indeed, it has been recently estimated that 10 million people will die annually from drug-resistant infections by the year 2050. Therefore, the need to develop out-of-the-box strategies to combat antibiotic resistance is urgent. The biological world has provided natural templates, called antimicrobial peptides (AMPs), which exhibit multiple intrinsic medical properties including the targeting of bacteria. AMPs can be used as scaffolds and, via engineering, can be reconfigured for optimized potency and targetability toward drug-resistant pathogens. Here, we review the recent development of tools for the discovery, design, and production of AMPs and propose that the future of peptide drug discovery will involve the convergence of computational and synthetic biology principles.
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Affiliation(s)
- Marcelo D T Torres
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Jicong Cao
- Synthetic Biology Group, MIT Synthetic Biology Center, Department of Biological Engineering and Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Octavio L Franco
- Centro de Análises Proteômicas e Bioquímicas, Universidade Católica de Brasília, Brasília, DF 70790160, Brazil
- S-inova Biotech, Universidade Católica Dom Bosco, Campo Grande, MS 79117010, Brazil
| | - Timothy K Lu
- Synthetic Biology Group, MIT Synthetic Biology Center, Department of Biological Engineering and Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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Porto W, Pires A, Franco O. Computational tools for exploring sequence databases as a resource for antimicrobial peptides. Biotechnol Adv 2017; 35:337-349. [DOI: 10.1016/j.biotechadv.2017.02.001] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/12/2017] [Accepted: 02/08/2017] [Indexed: 12/22/2022]
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Porto WF, Miranda VJ, Pinto MFS, Dohms SM, Franco OL. High-performance computational analysis and peptide screening from databases of cyclotides from poaceae. Biopolymers 2017; 106:109-18. [PMID: 26572696 DOI: 10.1002/bip.22771] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 10/21/2015] [Accepted: 11/09/2015] [Indexed: 12/22/2022]
Abstract
Cyclotides are a family of head-to-tail cyclized peptides containing three conserved disulfide bonds, in a structural scaffold also known as a cyclic cysteine knot. Due to the high degree of cysteine conservation, novel members from this peptide family can be identified in protein databases through a search through regular expression (REGEX). In this work, six novel cyclotide-like precursors from the Poaceae were identified from NCBI's non-redundant protein database by the use of REGEX. Two out of six sequences (named Zea mays L and M) showed an Asp residue in the C-terminal, which indicated that they could be cyclic. Gene expression in maize tissues was investigated, showing that the previously described cyclotide-like Z. mays J is expressed in the roots. According to molecular dynamics, the structure of Z. mays J seems to be stable, despite the putative absence of cyclization. As regards cyclotide evolution, it was hypothesized that this is an outcome from convergent evolution and/or horizontal gene transfer. The results showed that peptide screening from databases should be performed periodically in order to include novel sequences, which are deposited as the databases grow. Indeed, the advances in computational and experimental methods will together help to answer key questions and reach new horizons in defense-related peptide identification.
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Affiliation(s)
- William F Porto
- Centro De Análises Proteômicas E Bioquímicas, Pós-Graduação Em Ciências Genômicas E Biotecnologia Universidade Católica De Brasília, Brasília-DF, Brazil
| | - Vivian J Miranda
- Centro De Análises Proteômicas E Bioquímicas, Pós-Graduação Em Ciências Genômicas E Biotecnologia Universidade Católica De Brasília, Brasília-DF, Brazil
| | - Michelle F S Pinto
- Centro De Análises Proteômicas E Bioquímicas, Pós-Graduação Em Ciências Genômicas E Biotecnologia Universidade Católica De Brasília, Brasília-DF, Brazil
| | - Stephan M Dohms
- Centro De Análises Proteômicas E Bioquímicas, Pós-Graduação Em Ciências Genômicas E Biotecnologia Universidade Católica De Brasília, Brasília-DF, Brazil
| | - Octavio L Franco
- Centro De Análises Proteômicas E Bioquímicas, Pós-Graduação Em Ciências Genômicas E Biotecnologia Universidade Católica De Brasília, Brasília-DF, Brazil.,S-Inova Biotech, Pos Graduação em Biotecnologia, Universidade Catolica Dom Bosco, Campo Grande MS, Brazil
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Oversulfated chondroitin sulfate binds to chemokines and inhibits stromal cell-derived factor-1 mediated signaling in activated T cells. PLoS One 2014; 9:e94402. [PMID: 24718687 PMCID: PMC3981801 DOI: 10.1371/journal.pone.0094402] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Accepted: 03/15/2014] [Indexed: 12/20/2022] Open
Abstract
Oversulfated chondroitin sulfate (OSCS), a member of the glycosaminoglycan (GAG) family, was a contaminant in heparin that was linked to the 2008 heparin adverse events in the US. Because of its highly negative charge, OSCS can interact with many components of the contact and immune systems. We have previously demonstrated that OSCS inhibited the complement classical pathway by binding C1 inhibitor and potentiating its interaction with C1s. In the present study, by using surface plasmon resonance, we found OSCS interacts with T cell chemokines that can impact adaptive immunity. The binding of OSCS to stromal cell-derived factor-1 (SDF-1) chemokines, SDF-1α and SDF-1β, caused a significant change in the secondary structures of these chemokines as detected by far-ultraviolet circular dichroism spectra analysis. Functionally, OSCS binding profoundly inhibited SDF-1-induced calcium mobilization and T cell chemotaxis. Imaging flow cytometry revealed T cell morphological changes mediated by SDF-1α were completely blocked by OSCS. We conclude that the OSCS, a past contaminant in heparin, has broad interactions with the components of the human immune system beyond the contact and complement systems, and that may explain, in part, prior OSCS-related adverse events, while suggesting potentially useful therapeutic applications for related GAGs in the control of inflammation.
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Bell MR, Engleka MJ, Malik A, Strickler JE. To fuse or not to fuse: what is your purpose? Protein Sci 2013; 22:1466-77. [PMID: 24038604 DOI: 10.1002/pro.2356] [Citation(s) in RCA: 100] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Revised: 08/19/2013] [Accepted: 08/20/2013] [Indexed: 01/13/2023]
Abstract
Since the dawn of time, or at least the dawn of recombinant DNA technology (which for many of today's scientists is the same thing), investigators have been cloning and expressing heterologous proteins in a variety of different cells for a variety of different reasons. These range from cell biological studies looking at protein-protein interactions, post-translational modifications, and regulation, to laboratory-scale production in support of biochemical, biophysical, and structural studies, to large scale production of potential biotherapeutics. In parallel, fusion-tag technology has grown-up to facilitate microscale purification (pull-downs), protein visualization (epitope tags), enhanced expression and solubility (protein partners, e.g., GST, MBP, TRX, and SUMO), and generic purification (e.g., His-tags, streptag, and FLAG™-tag). Frequently, these latter two goals are combined in a single fusion partner. In this review, we examine the most commonly used fusion methodologies from the perspective of the ultimate use of the tagged protein. That is, what are the most commonly used fusion partners for pull-downs, for structural studies, for production of active proteins, or for large-scale purification? What are the advantages and limitations of each? This review is not meant to be exhaustive and the approach undoubtedly reflects the experiences and interests of the authors. For the sake of brevity, we have largely ignored epitope tags although they receive wide use in cell biology for immunopreciptation.
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Affiliation(s)
- Mark R Bell
- LifeSensors, Inc., Malvern, Pennsylvania, 19083
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