Validating New Tuberculosis Computational Models with Public Whole Cell Screening Aerobic Activity Datasets

@article{Ekins2011ValidatingNT,
  title={Validating New Tuberculosis Computational Models with Public Whole Cell Screening Aerobic Activity Datasets},
  author={Sean Ekins and Joel S. Freundlich},
  journal={Pharmaceutical Research},
  year={2011},
  volume={28},
  pages={1859-1869}
}
The search for small molecules with activity against Mycobacterium tuberculosis (Mtb) increasingly uses high throughput screening and computational methods. Several public datasets from the Collaborative Drug Discovery Tuberculosis (CDD TB) database have been evaluated with cheminformatics approaches to validate their utility and suggest compounds for testing. Previously reported Bayesian classification models were used to predict a set of 283 Novartis compounds tested against Mtb (containing… CONTINUE READING
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