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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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: 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.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Research Article
Acesso em linha: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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