All Stories

  1. Assessment of carbapenems in a mouse model of Mycobacterium tuberculosis infection
  2. Novel Pyrimidines as Antitubercular Agents
  3. Predicting the efficiency of chemical compounds against the Tuberculosis bacterium
  4. Hit to lead and Machine learning
  5. Gaps in neglected disease research
  6. combining TB activity and cytotoxicity data for machine learning
  7. Bayesian Models Leveraging Bioactivity and Cytotoxicity Information for Drug Discovery
  8. Novel diaryl ureas with efficacy in a mouse model of malaria
  9. Models for TB drug discovery
  10. Cheminformatics and pathways analysis for Mtb
  11. repositioning approved drugs
  12. TB whole cell models for aerobic activity
  13. Computational tools for TB drug discovery
  14. mimicing essential metabolites