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

Douglas E. V. Pires & David B. Ascher
Nucleic Acids Research, v. 44 (W1), p. W469-W473, 2016.


Summary: 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 demonstrate that graph-based signatures can be used to accurately predict the effect of mutations on antibody binding affinity. We show that mCSM-AB performs better than comparable methods that have been previously used for antibody engineering.