Cheminformatics Based Machine Learning Approaches for Assessing Glycolytic Pathway Antagonists of Mycobacterium tuberculosis.

@article{Tiwari2016CheminformaticsBM,
  title={Cheminformatics Based Machine Learning Approaches for Assessing Glycolytic Pathway Antagonists of Mycobacterium tuberculosis.},
  author={Kanupriya Tiwari and Salma Jamal and Sonam Grover and Sukriti Goyal and Aditi Singh and Abhinav Grover},
  journal={Combinatorial chemistry & high throughput screening},
  year={2016},
  volume={19 8},
  pages={
          667-675
        }
}
BACKGROUND Tuberculosis is the second leading cause of death from an infectious disease worldwide after HIV, thus reasoning the expeditions in antituberculosis research. The rising number of cases of infection by resistant forms of M. tuberculosis has given impetus to the development of novel drugs that have different targets and mechanisms of action… CONTINUE READING