CSM-AB / mCSM-AB / mCSM-AB2 / mmCSM-AB
:: DESCRIPTION
CSM-AB is a machine learning method capable of predicting antibody-antigen binding affinity by modelling interaction interfaces as graph-based signatures.
mCSM-AB is a web server for predicting antibody-antigen affinity changes upon mutation with graph-based signatures
mCSM-AB2 is an updated and refined version approach, capable of accurately modelling the effects of mutations on antibody-antigen binding affinity, through the inclusion of evolutionary and energetic terms.
mmCSM-AB is a tool for analysing the effects of introducing multiple point mutations on antibody-antigen binding affinity.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Web browser
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation:
Myung Y, Pires DEV, Ascher DB.
CSM-AB: graph-based antibody-antigen binding affinity prediction and docking scoring function.
Bioinformatics. 2021 Nov 4:btab762. doi: 10.1093/bioinformatics/btab762. Epub ahead of print. PMID: 34734992.
mCSM-AB: a web server for predicting antibody-antigen affinity changes upon mutation with graph-based signatures.
Pires DE, Ascher DB.
Nucleic Acids Res. 2016 May 23. pii: gkw458.
Myung Y, Rodrigues CHM, Ascher DB, Pires DEV.
mCSM-AB2: guiding rational antibody design using graph-based signatures.
Bioinformatics. 2020 Mar 1;36(5):1453-1459. doi: 10.1093/bioinformatics/btz779. PMID: 31665262.
Myung Y, Pires DEV, Ascher DB.
mmCSM-AB: guiding rational antibody engineering through multiple point mutations.
Nucleic Acids Res. 2020 Jul 2;48(W1):W125-W131. doi: 10.1093/nar/gkaa389. PMID: 32432715; PMCID: PMC7319589.