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A combined view of B-cell epitope features in antigens

B-cell epitope mapping is a promising approach to identify therapeutics and vaccine candidates in antigenic proteins. We used MATLAB programming to view in combination different features such as beta turn region, surface accessibility, antigenicity and hydrophilicity in an antigen sequence to help p...

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Detalles Bibliográficos
Autores principales: Zobayer, Nayem, Hossain, ABM Aowlad, Rahman, Md.Asadur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704334/
https://www.ncbi.nlm.nih.gov/pubmed/31485139
http://dx.doi.org/10.6026/97320630015530
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author Zobayer, Nayem
Hossain, ABM Aowlad
Rahman, Md.Asadur
author_facet Zobayer, Nayem
Hossain, ABM Aowlad
Rahman, Md.Asadur
author_sort Zobayer, Nayem
collection PubMed
description B-cell epitope mapping is a promising approach to identify therapeutics and vaccine candidates in antigenic proteins. We used MATLAB programming to view in combination different features such as beta turn region, surface accessibility, antigenicity and hydrophilicity in an antigen sequence to help predict a discontinuous, conformational B-cell epitope. We analyzed, grouped, compared, matched and superposed these features for a combined visualization using MATLAB programming for identifying and illustrating a potential B-cell epitope region in an antigen protein. This protocol finds application in the design and development of an effective B cell epitope candidate.
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spelling pubmed-67043342019-09-04 A combined view of B-cell epitope features in antigens Zobayer, Nayem Hossain, ABM Aowlad Rahman, Md.Asadur Bioinformation Research Article B-cell epitope mapping is a promising approach to identify therapeutics and vaccine candidates in antigenic proteins. We used MATLAB programming to view in combination different features such as beta turn region, surface accessibility, antigenicity and hydrophilicity in an antigen sequence to help predict a discontinuous, conformational B-cell epitope. We analyzed, grouped, compared, matched and superposed these features for a combined visualization using MATLAB programming for identifying and illustrating a potential B-cell epitope region in an antigen protein. This protocol finds application in the design and development of an effective B cell epitope candidate. Biomedical Informatics 2019-08-15 /pmc/articles/PMC6704334/ /pubmed/31485139 http://dx.doi.org/10.6026/97320630015530 Text en © 2019 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Zobayer, Nayem
Hossain, ABM Aowlad
Rahman, Md.Asadur
A combined view of B-cell epitope features in antigens
title A combined view of B-cell epitope features in antigens
title_full A combined view of B-cell epitope features in antigens
title_fullStr A combined view of B-cell epitope features in antigens
title_full_unstemmed A combined view of B-cell epitope features in antigens
title_short A combined view of B-cell epitope features in antigens
title_sort combined view of b-cell epitope features in antigens
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704334/
https://www.ncbi.nlm.nih.gov/pubmed/31485139
http://dx.doi.org/10.6026/97320630015530
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