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PEPOP 2.0: new approaches to mimic non-continuous epitopes
BACKGROUND: Bioinformatics methods are helpful to identify new molecules for diagnostic or therapeutic applications. For example, the use of peptides capable of mimicking binding sites has several benefits in replacing a protein which is difficult to produce, or toxic. Using peptides is less expensi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625012/ https://www.ncbi.nlm.nih.gov/pubmed/31296178 http://dx.doi.org/10.1186/s12859-019-2867-5 |
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author | Demolombe, Vincent de Brevern, Alexandre G. Felicori, Liza NGuyen, Christophe Machado de Avila, Ricardo Andrez Valera, Lionel Jardin-Watelet, Bénédicte Lavigne, Géraldine Lebreton, Aurélien Molina, Franck Moreau, Violaine |
author_facet | Demolombe, Vincent de Brevern, Alexandre G. Felicori, Liza NGuyen, Christophe Machado de Avila, Ricardo Andrez Valera, Lionel Jardin-Watelet, Bénédicte Lavigne, Géraldine Lebreton, Aurélien Molina, Franck Moreau, Violaine |
author_sort | Demolombe, Vincent |
collection | PubMed |
description | BACKGROUND: Bioinformatics methods are helpful to identify new molecules for diagnostic or therapeutic applications. For example, the use of peptides capable of mimicking binding sites has several benefits in replacing a protein which is difficult to produce, or toxic. Using peptides is less expensive. Peptides are easier to manipulate, and can be used as drugs. Continuous epitopes predicted by bioinformatics tools are commonly used and these sequential epitopes are used as is in further experiments. Numerous discontinuous epitope predictors have been developed but only two bioinformatics tools have been proposed so far to predict peptide sequences: Superficial and PEPOP 2.0. PEPOP 2.0 can generate series of peptide sequences that can replace continuous or discontinuous epitopes in their interaction with their cognate antibody. RESULTS: We have developed an improved version of PEPOP (PEPOP 2.0) dedicated to answer to experimentalists’ need for a tool able to handle proteins and to turn them into peptides. The PEPOP 2.0 web site has been reorganized by peptide prediction category and is therefore better formulated to experimental designs. Since the first version of PEPOP, 32 new methods of peptide design were developed. In total, PEPOP 2.0 proposes 35 methods in which 34 deal specifically with discontinuous epitopes, the most represented epitope type in nature. CONCLUSION: Through the presentation of its user-friendly, well-structured new web site conceived in close proximity to experimentalists, we report original methods that show how PEPOP 2.0 can assist biologists in dealing with discontinuous epitopes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2867-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6625012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66250122019-07-23 PEPOP 2.0: new approaches to mimic non-continuous epitopes Demolombe, Vincent de Brevern, Alexandre G. Felicori, Liza NGuyen, Christophe Machado de Avila, Ricardo Andrez Valera, Lionel Jardin-Watelet, Bénédicte Lavigne, Géraldine Lebreton, Aurélien Molina, Franck Moreau, Violaine BMC Bioinformatics Methodology Article BACKGROUND: Bioinformatics methods are helpful to identify new molecules for diagnostic or therapeutic applications. For example, the use of peptides capable of mimicking binding sites has several benefits in replacing a protein which is difficult to produce, or toxic. Using peptides is less expensive. Peptides are easier to manipulate, and can be used as drugs. Continuous epitopes predicted by bioinformatics tools are commonly used and these sequential epitopes are used as is in further experiments. Numerous discontinuous epitope predictors have been developed but only two bioinformatics tools have been proposed so far to predict peptide sequences: Superficial and PEPOP 2.0. PEPOP 2.0 can generate series of peptide sequences that can replace continuous or discontinuous epitopes in their interaction with their cognate antibody. RESULTS: We have developed an improved version of PEPOP (PEPOP 2.0) dedicated to answer to experimentalists’ need for a tool able to handle proteins and to turn them into peptides. The PEPOP 2.0 web site has been reorganized by peptide prediction category and is therefore better formulated to experimental designs. Since the first version of PEPOP, 32 new methods of peptide design were developed. In total, PEPOP 2.0 proposes 35 methods in which 34 deal specifically with discontinuous epitopes, the most represented epitope type in nature. CONCLUSION: Through the presentation of its user-friendly, well-structured new web site conceived in close proximity to experimentalists, we report original methods that show how PEPOP 2.0 can assist biologists in dealing with discontinuous epitopes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2867-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-11 /pmc/articles/PMC6625012/ /pubmed/31296178 http://dx.doi.org/10.1186/s12859-019-2867-5 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Demolombe, Vincent de Brevern, Alexandre G. Felicori, Liza NGuyen, Christophe Machado de Avila, Ricardo Andrez Valera, Lionel Jardin-Watelet, Bénédicte Lavigne, Géraldine Lebreton, Aurélien Molina, Franck Moreau, Violaine PEPOP 2.0: new approaches to mimic non-continuous epitopes |
title | PEPOP 2.0: new approaches to mimic non-continuous epitopes |
title_full | PEPOP 2.0: new approaches to mimic non-continuous epitopes |
title_fullStr | PEPOP 2.0: new approaches to mimic non-continuous epitopes |
title_full_unstemmed | PEPOP 2.0: new approaches to mimic non-continuous epitopes |
title_short | PEPOP 2.0: new approaches to mimic non-continuous epitopes |
title_sort | pepop 2.0: new approaches to mimic non-continuous epitopes |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625012/ https://www.ncbi.nlm.nih.gov/pubmed/31296178 http://dx.doi.org/10.1186/s12859-019-2867-5 |
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