Bayesian models for screening and TB Mobile for target inference with Mycobacterium tuberculosis

  • Sean Ekins, Allen C. Casey, David Roberts, Tanya Parish, Barry A. Bunin
  • Tuberculosis, March 2014, Elsevier
  • DOI: 10.1016/

Bayesian models with IDRI

What is it about?

Building machine learning models for TB, virtual screeing and prediction of targets using TB Mobile.

Why is it important?

One of 3 papers on generating combined bioactivity and cytotoxicity models for virtual screening. In this one we added predictions with TB Mobile for the hits retrieved. Prospective testing of models is important to show value. This work was done with a group at IDRI.

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The following have contributed to this page: Dr Sean Ekins