A Comprehensive Computational Platform to Guide Drug Development Using Graph-Based Signature Methods-Reference-Cited by-同舟云学术

A Comprehensive Computational Platform to Guide Drug Development Using Graph-Based Signature Methods

Published:2020 Issue: Volume: Page:91-106
ISSN:1064-3745
Container-title:Methods in Molecular Biology
language:
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Author:

Pires Douglas E. V.,Portelli Stephanie,Rezende Pâmela M.,Veloso Wandré N. P.,Xavier Joicymara S.,Karmakar Malancha,Myung Yoochan,Linhares João P. V.,Rodrigues Carlos H. M.,Silk Michael,Ascher David B.

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-0716-0270-6_7

Reference53 articles.

1. Pires DE, Ascher DB, Blundell TL (2014) mCSM: predicting the effects of mutations in proteins using graph-based signatures. Bioinformatics 30(3):335–342. https://doi.org/10.1093/bioinformatics/btt691

2. Pires DE, Ascher DB, Blundell TL (2014) DUET: a server for predicting effects of mutations on protein stability using an integrated computational approach. Nucleic Acids Res 42(Web Server issue):W314–W319. https://doi.org/10.1093/nar/gku411

3. Pires DE, Ascher DB (2016) CSM-lig: a web server for assessing and comparing protein-small molecule affinities. Nucleic Acids Res 44(W1):W557–W561. https://doi.org/10.1093/nar/gkw390

4. Pires DE, Ascher DB (2016) mCSM-AB: a web server for predicting antibody-antigen affinity changes upon mutation with graph-based signatures. Nucleic Acids Res 44(W1):W469–W473. https://doi.org/10.1093/nar/gkw458

5. Pires DE, Blundell TL, Ascher DB (2016) mCSM-lig: quantifying the effects of mutations on protein-small molecule affinity in genetic disease and emergence of drug resistance. Sci Rep 6:29575. https://doi.org/10.1038/srep29575

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