Computational methods have traditionally struggled to predict the effect ofmutations 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 mCSMAB, 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.
CITATION STYLE
Pires, D. E. V., & Ascher, D. B. (2016). mCSM-AB: a web server for predicting antibody–antigen affinity changes upon mutation with graph-based signatures. Nucleic Acids Research, 44(W1), W469–W473. https://doi.org/10.1093/nar/gkw458
Mendeley helps you to discover research relevant for your work.