Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery

Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses information derived from the TBCyc pathway and genome database, the Collaborative Drug Discovery TB database combined wit...

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Опубликовано в: :PLoS One
Главные авторы: Ekins, Sean, Madrid, Peter B., Sarker, Malabika, Li, Shao-Gang, Mittal, Nisha, Kumar, Pradeep, Wang, Xin, Stratton, Thomas P., Zimmerman, Matthew, Talcott, Carolyn, Bourbon, Pauline, Travers, Mike, Yadav, Maneesh, Freundlich, Joel S.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2015
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4627656/
https://ncbi.nlm.nih.gov/pubmed/26517557
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0141076
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