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EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes
Epitopes are portions of a protein that are recognized by antibodies. These small amino acid sequences represent a significant breakthrough in a branch of bioinformatics called immunoinformatics. Various software are available for linear B-cell epitope (BCE) prediction such as ABCPred, SVMTrip, EpiD...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102138/ https://www.ncbi.nlm.nih.gov/pubmed/35571557 http://dx.doi.org/10.1177/11779322221095221 |
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author | Moreira, Renato Simões Filho, Vilmar Benetti Calomeno, Nathália Anderson Wagner, Glauber Miletti, Luiz Claudio |
author_facet | Moreira, Renato Simões Filho, Vilmar Benetti Calomeno, Nathália Anderson Wagner, Glauber Miletti, Luiz Claudio |
author_sort | Moreira, Renato Simões |
collection | PubMed |
description | Epitopes are portions of a protein that are recognized by antibodies. These small amino acid sequences represent a significant breakthrough in a branch of bioinformatics called immunoinformatics. Various software are available for linear B-cell epitope (BCE) prediction such as ABCPred, SVMTrip, EpiDope, and EpitopeVec; a well-known BCE predictor is BepiPred-2.0. However, despite the prediction, there are several essential steps, such as epitope assembly, evaluation, and searching for epitopes in other proteomes. Here, we present EpiBuilder (https://epibuilder.sourceforge.io), a user friendly software that assists in epitope assembly, classifying and searching using input results of BepiPred-2.0. EpiBuilder generates several output results from these data and supports a proteome-wide processing approach. In addition, this software provides the following features: Chou & Fasman beta-turn prediction, Emini surface accessibility prediction, Karplus and Schulz flexibility prediction, Kolaskar and Tongaonkar antigenicity, Parker hydrophilicity prediction, N-glycosylation domains, and hydropathy. These information generate a unique topology for each epitope, visually demonstrating its characteristics. The software can search the entire epitope sequence in various FASTA files, and it allows to use BLASTP to identify epitopes that eventually have sequence variations. As an EpiBuilder application, we developed a epitope dataset from the protozoan Trypanosoma brucei gambiense, the gram-positive bacterium Clostridioides difficile, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). |
format | Online Article Text |
id | pubmed-9102138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-91021382022-05-14 EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes Moreira, Renato Simões Filho, Vilmar Benetti Calomeno, Nathália Anderson Wagner, Glauber Miletti, Luiz Claudio Bioinform Biol Insights Original Research Epitopes are portions of a protein that are recognized by antibodies. These small amino acid sequences represent a significant breakthrough in a branch of bioinformatics called immunoinformatics. Various software are available for linear B-cell epitope (BCE) prediction such as ABCPred, SVMTrip, EpiDope, and EpitopeVec; a well-known BCE predictor is BepiPred-2.0. However, despite the prediction, there are several essential steps, such as epitope assembly, evaluation, and searching for epitopes in other proteomes. Here, we present EpiBuilder (https://epibuilder.sourceforge.io), a user friendly software that assists in epitope assembly, classifying and searching using input results of BepiPred-2.0. EpiBuilder generates several output results from these data and supports a proteome-wide processing approach. In addition, this software provides the following features: Chou & Fasman beta-turn prediction, Emini surface accessibility prediction, Karplus and Schulz flexibility prediction, Kolaskar and Tongaonkar antigenicity, Parker hydrophilicity prediction, N-glycosylation domains, and hydropathy. These information generate a unique topology for each epitope, visually demonstrating its characteristics. The software can search the entire epitope sequence in various FASTA files, and it allows to use BLASTP to identify epitopes that eventually have sequence variations. As an EpiBuilder application, we developed a epitope dataset from the protozoan Trypanosoma brucei gambiense, the gram-positive bacterium Clostridioides difficile, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SAGE Publications 2022-05-11 /pmc/articles/PMC9102138/ /pubmed/35571557 http://dx.doi.org/10.1177/11779322221095221 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Moreira, Renato Simões Filho, Vilmar Benetti Calomeno, Nathália Anderson Wagner, Glauber Miletti, Luiz Claudio EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes |
title | EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes |
title_full | EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes |
title_fullStr | EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes |
title_full_unstemmed | EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes |
title_short | EpiBuilder: A Tool for Assembling, Searching, and Classifying B-Cell Epitopes |
title_sort | epibuilder: a tool for assembling, searching, and classifying b-cell epitopes |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102138/ https://www.ncbi.nlm.nih.gov/pubmed/35571557 http://dx.doi.org/10.1177/11779322221095221 |
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