In Silico Identification of Novel Tuberculosis Drug Targets in Mycobacterium tuberculosis P450 Enzymes by Interaction Study with Azole Drugs

ABSTRACT

@#Introduction: Tuberculosis (TB) is one of the utmost serious infectious diseases worldwide. The emergence of multidrug resistance demands the development of better or new putative drug targets for tuberculosis. Recent studies suggest Mycobacterium tuberculosis cytochrome P450 enzymes as promising drug targets and azole drugs as potential inhibitors. Methods: Various computational tools, like Expasy Protparam, Swiss model, RaptorX and Phyre2 were used to analyze 12 Mycobacterium tuberculosis P450 enzymes and determine their three-dimensional structure. The structural validation was done through a Ramachandran plot using RAMPAGE server. The docking of P450 enzymes with azole drugs was done with autodock ver 4.2.6. Results: Based on sub-cellular localization prediction using CELLO tool, P450 enzymes CYP123A1, CYP132A1, CYP135A1, CYP136A1, CYP140A1, and CYP143A1 were predicted to be in the cytoplasm. Through structure assessment by Ramachandran plot, the best homology modelled proteins were docked with azole drugs like clotrimazole, croconazole, econazole, fluconazole, itraconazole, itraconazole, ketaconazole and micronazole by using autodock. By docking method it is identified that ketaconazole drug has a high affinity towards most of the mycobacterium P450 enzymes followed by the itrconazole drug. CYP123A1 enzyme is preferable as a drug target due to high binding affinity towards ketoconazole followed by CYP135A1, CYP140A1 enzymes. Conclusion: This study would help in identifying putative novel drug targets in Mycobacterium tuberculosis, which can lead to promising candidates for the optimization and development of novel anti-mycobacterial agents.