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mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures

Computational methods have traditionally struggled to predict the effect of mutations in antibody–antigen complexes on binding affinity. This has limited their usefulness during antibody engineering and development, and their ability to predict biologically relevant escape mutations. Here we present...

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Detalles Bibliográficos
Autores principales: Pires, Douglas E.V., Ascher, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987957/
https://www.ncbi.nlm.nih.gov/pubmed/27216816
http://dx.doi.org/10.1093/nar/gkw458
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author Pires, Douglas E.V.
Ascher, David B.
author_facet Pires, Douglas E.V.
Ascher, David B.
author_sort Pires, Douglas E.V.
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description Computational methods have traditionally struggled to predict the effect of mutations in antibody–antigen complexes on binding affinity. This has limited their usefulness during antibody engineering and development, and their ability to predict biologically relevant escape mutations. Here we present mCSM-AB, a user-friendly web server for accurately predicting antibody–antigen affinity changes upon mutation which relies on graph-based signatures. We show that mCSM-AB performs better than comparable methods that have been previously used for antibody engineering. mCSM-AB web server is available at http://structure.bioc.cam.ac.uk/mcsm_ab.
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spelling pubmed-49879572016-08-22 mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures Pires, Douglas E.V. Ascher, David B. Nucleic Acids Res Web Server issue Computational methods have traditionally struggled to predict the effect of mutations in antibody–antigen complexes on binding affinity. This has limited their usefulness during antibody engineering and development, and their ability to predict biologically relevant escape mutations. Here we present mCSM-AB, a user-friendly web server for accurately predicting antibody–antigen affinity changes upon mutation which relies on graph-based signatures. We show that mCSM-AB performs better than comparable methods that have been previously used for antibody engineering. mCSM-AB web server is available at http://structure.bioc.cam.ac.uk/mcsm_ab. Oxford University Press 2016-07-08 2016-05-23 /pmc/articles/PMC4987957/ /pubmed/27216816 http://dx.doi.org/10.1093/nar/gkw458 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server issue
Pires, Douglas E.V.
Ascher, David B.
mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
title mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
title_full mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
title_fullStr mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
title_full_unstemmed mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
title_short mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
title_sort mcsm-ab: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures
topic Web Server issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987957/
https://www.ncbi.nlm.nih.gov/pubmed/27216816
http://dx.doi.org/10.1093/nar/gkw458
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