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