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Image Annotation and Database Mining to Create a Novel Screen for the Chemotype-Dependent Crystallization of HCV NS3 Protease

Authors :
Herbert E. Klei
Javed Khan
Matthew H. Cahn
Eric T. Baldwin
Jeffrey Tredup
Steve J. Michalczyk
Kevin Kish
Mark F. Russo
ChiehYing Chang
Source :
Crystal Growth & Design. 11:1143-1151
Publication Year :
2011
Publisher :
American Chemical Society (ACS), 2011.

Abstract

An effective process for screening, imaging, and optimizing crystallization trials using a combination of external and internal hardware and software has been deployed. The combination of this infrastructure with a vast annotated crystallization database enables the creation of custom crystallization screening strategies. Because of the strong chemotype-dependent crystallization observed with HCV NS3 protease (HCVPr), this strategy was applied to a chemotype resistant to all prior crystallization efforts. The crystallization database was mined for ingredients used to generate earlier HCVPr/inhibitor co-crystals. A random screen was created from the most prolific ingredients. A previously untested combination of proven ingredients was identified that led to a successful crystallization condition for the resistant chemotype.

Details

ISSN :
15287505 and 15287483
Volume :
11
Database :
OpenAIRE
Journal :
Crystal Growth & Design
Accession number :
edsair.doi...........34d63e27ae4e5a46f4ee057d41f481fd
Full Text :
https://doi.org/10.1021/cg101353h