Identification of novel anti-tuberculosis agent: An in silico investigation.

BACKGROUND: Multi-drug resistance tuberculosis is chronic and highly affected to mankind. Millions of people are affected by tuberculosis and lost their lives every year. Mycobacterium tuberculosis is resistant to the most commonly used anti-TB drugs, hence new drugs need to be developed in a short time. In this direction, many chemical compounds including benzimidazole derivatives have been identified as potent anti-tb agents.

METHOD: Various benzimidazole derivatives were subjected to in-silico computational screening to identify the potent anti-tubercular analogues. The ADME pharmacokinetics evaluation was performed to identify the drug-like molecules. Molecular docking investigation of selected compounds was performed against Mycobacterium Tuberculosis Enoyl Reductase (Inha) with PDB ID: 2B37, 1QG6, 4TZK, and 4TZK. The common pharmacophore hypothesis was generated using the molecular docking post-processing module.

RESULT: The result of ADME pharmacokinetics of some compounds is very close to the drug-like properties and can be developed as good inhibitors. Molecular docking study suggests that the proposed benzimidazole and 4H-pyran derivative have better binding affinity than standard and triclosan derivatives. Results from the pharmacophore hypothesis development study also support and suggest our prediction regarding the minimum pharmacophore features required in ligands to behave as a Mycobacterium Tuberculosis inhibitor.

CONCLUSION: Coumarin, phenylurea clubbed benzimidazole moiety and pyrano[2,3-c]pyrazole derivatives have shown greater selectivity and potency towards Mycobacterium Tuberculosis. By employing a combination of ADME, docking, and pharmacophore study calculations, novel potent hits to inhibit enoyl-acp reductase were identified with the points for consideration for designing of enoyl-acp reductase inhibitor.