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Using Extended-Connectivity Fingerprints with Laplacian-Modified Bayesian Analysis in High-Throughput Screening Follow-Up
SciTegic, Inc., 9665 Chesapeake Drive #401, San Diego, CA 92123drogers{at}scitegic.com This article describes the use of a combination of extended-connectivity fingerprints (ECFPs) and Laplacian-modified Bayesian analysis in a study of the inhibition of Escherichia coli dihydrofolate reductase. The McMaster High-Throughput Screening Lab at McMaster University proposed a competition to predict the hits in a separate test set of 50,000 compounds. Although the problem seemed best approached with 3D methods, the authors show that 2D methods offer surprisingly competitive results with a low computational cost.
Key Words: extended-connectivity fingerprints Laplacian-modified Bayesian analysis high-throughput screening computational methods
This version was published on October
1, 2005 Journal of Biomolecular Screening, Vol. 10, No. 7,
682-686 (2005) This article has been cited by other articles:
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