153757-42-7Relevant academic research and scientific papers
Combining metabolite-based pharmacophores with Bayesian machine learning models for mycobacterium tuberculosis drug discovery
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.
, (2015/12/26)
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 Collabor
