Target prediction utilising negative bioactivity data covering large chemical space-Reference-Cited by-同舟云学术

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Target prediction utilising negative bioactivity data covering large chemical space

Published:2015-10-24 Issue:1 Volume:7 Page:
ISSN:1758-2946
Container-title:Journal of Cheminformatics
language:en
Short-container-title:J Cheminform

Author:

Mervin Lewis H.,Afzal Avid M.,Drakakis Georgios,Lewis Richard,Engkvist Ola,Bender Andreas

Funder

Biotechnology and Biological Sciences Research Council

Engineering and Physical Sciences Research Council

AstraZeneca

Eli Lilly and Company

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/s13321-015-0098-y.pdf

Reference75 articles.

1. Lee J, Bogyo M (2013) Target deconvolution techniques in modern phenotypic profiling. Curr Opin Chem Biol 17:118–126

2. Terstappen GC, Schlüpen C, Raggiaschi R, Gaviraghi G (2007) Target deconvolution strategies in drug discovery. Nat Rev Drug Discov 6:891–903

3. Burdine L, Kodadek T (2004) Target identification in chemical genetics: the (often) missing link. Chem Biol 11:593–597

4. Schirle M, Bantscheff M, Kuster B (2012) Mass spectrometry-based proteomics in preclinical drug discovery. Chem Biol 19:72–84

5. Rix U, Superti-Furga G (2009) Target profiling of small molecules by chemical proteomics. Nat Chem Biol 5:616–624

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