Cargando…
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...
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 |
Ejemplares similares
-
mCSM–NA: predicting the effects of mutations on protein–nucleic acids interactions
por: Pires, Douglas E.V., et al.
Publicado: (2017) -
mCSM-membrane: predicting the effects of mutations on transmembrane proteins
por: Pires, Douglas E V, et al.
Publicado: (2020) -
CSM-lig: a web server for assessing and comparing protein–small molecule affinities
por: Pires, Douglas E.V., et al.
Publicado: (2016) -
mCSM-PPI2: predicting the effects of mutations on protein–protein interactions
por: Rodrigues, Carlos H M, et al.
Publicado: (2019) -
mmCSM-AB: guiding rational antibody engineering through multiple point mutations
por: Myung, Yoochan, et al.
Publicado: (2020)