Combining Computational Methods for Hit to Lead Optimization in Mycobacterium Tuberculosis Drug Discovery

Title
Combining Computational Methods for Hit to Lead Optimization in Mycobacterium Tuberculosis Drug Discovery
Authors
Keywords
bayesian models, clustering, Collaborative Drug Discovery Tuberculosis database, dual-event models, function class fingerprints, lead optimization, <em class=EmphasisTypeItalic >Mycobacterium tuberculosis</em>, tuberculosis
Journal
PHARMACEUTICAL RESEARCH
Volume 31, Issue 2, Pages 414-435
Publisher
Springer Nature
Online
2013-10-16
DOI
10.1007/s11095-013-1172-7

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