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ARMADiLLO: a web server for analyzing antibody mutation probabilities
Antibodies are generated by B cells that evolve receptor specificity to pathogens through rounds of mutation and selection in a process called affinity maturation. Somatic hypermutation is mediated by an enzyme with DNA sequence context-dependent targeting and substitution resulting in variable prob...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320107/ https://www.ncbi.nlm.nih.gov/pubmed/37260077 http://dx.doi.org/10.1093/nar/gkad398 |
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author | Martin Beem, Joshua S Venkatayogi, Sravani Haynes, Barton F Wiehe, Kevin |
author_facet | Martin Beem, Joshua S Venkatayogi, Sravani Haynes, Barton F Wiehe, Kevin |
author_sort | Martin Beem, Joshua S |
collection | PubMed |
description | Antibodies are generated by B cells that evolve receptor specificity to pathogens through rounds of mutation and selection in a process called affinity maturation. Somatic hypermutation is mediated by an enzyme with DNA sequence context-dependent targeting and substitution resulting in variable probabilities of amino acid substitutions during affinity maturation. We have previously developed a program called Antigen Receptor Mutation Analyzer for the Detection of Low Likelihood Occurrences (ARMADiLLO) that performs simulations of the somatic hypermutation process to estimate the probabilities of observed antibody mutations. Here we describe the ARMADiLLO web server (https://armadillo.dhvi.duke.edu), an easy-to-use web interface that analyzes input antibody sequences and displays the probability estimates for all possible amino acid changes over the full length of an antibody sequence. The probability of antibody mutations can be used by immunologists studying B cell ontogenies and by vaccine designers that are pursuing strategies to elicit broadly neutralizing antibodies which are enriched with developmentally rate-limiting improbable mutations. The ARMADiLLO web server also contains precomputed results reporting the probability of amino acid substitutions in all human V gene segments and in a collection of HIV broadly neutralizing antibodies. |
format | Online Article Text |
id | pubmed-10320107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103201072023-07-06 ARMADiLLO: a web server for analyzing antibody mutation probabilities Martin Beem, Joshua S Venkatayogi, Sravani Haynes, Barton F Wiehe, Kevin Nucleic Acids Res Web Server Issue Antibodies are generated by B cells that evolve receptor specificity to pathogens through rounds of mutation and selection in a process called affinity maturation. Somatic hypermutation is mediated by an enzyme with DNA sequence context-dependent targeting and substitution resulting in variable probabilities of amino acid substitutions during affinity maturation. We have previously developed a program called Antigen Receptor Mutation Analyzer for the Detection of Low Likelihood Occurrences (ARMADiLLO) that performs simulations of the somatic hypermutation process to estimate the probabilities of observed antibody mutations. Here we describe the ARMADiLLO web server (https://armadillo.dhvi.duke.edu), an easy-to-use web interface that analyzes input antibody sequences and displays the probability estimates for all possible amino acid changes over the full length of an antibody sequence. The probability of antibody mutations can be used by immunologists studying B cell ontogenies and by vaccine designers that are pursuing strategies to elicit broadly neutralizing antibodies which are enriched with developmentally rate-limiting improbable mutations. The ARMADiLLO web server also contains precomputed results reporting the probability of amino acid substitutions in all human V gene segments and in a collection of HIV broadly neutralizing antibodies. Oxford University Press 2023-06-01 /pmc/articles/PMC10320107/ /pubmed/37260077 http://dx.doi.org/10.1093/nar/gkad398 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Martin Beem, Joshua S Venkatayogi, Sravani Haynes, Barton F Wiehe, Kevin ARMADiLLO: a web server for analyzing antibody mutation probabilities |
title | ARMADiLLO: a web server for analyzing antibody mutation probabilities |
title_full | ARMADiLLO: a web server for analyzing antibody mutation probabilities |
title_fullStr | ARMADiLLO: a web server for analyzing antibody mutation probabilities |
title_full_unstemmed | ARMADiLLO: a web server for analyzing antibody mutation probabilities |
title_short | ARMADiLLO: a web server for analyzing antibody mutation probabilities |
title_sort | armadillo: a web server for analyzing antibody mutation probabilities |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320107/ https://www.ncbi.nlm.nih.gov/pubmed/37260077 http://dx.doi.org/10.1093/nar/gkad398 |
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