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Research Article

A holistic molecular modelling approach to design novel indole-2-carboxamide derivatives as potential inhibitors of MmpL3

ORCID Icon, , , ORCID Icon & ORCID Icon
Pages 551-581 | Received 27 Apr 2022, Accepted 28 Jun 2022, Published online: 19 Jul 2022
 

ABSTRACT

Tuberculosis is an infectious air-borne disease and one of the leading causes of death globally among all infectious diseases. There is an urgent need to develop antitubercular drugs that would be highly efficient and less toxic than the presently available marketed drugs. Mycobacterium membrane protein large 3 (MmpL3) is an emerging drug target in tuberculosis with various classes of molecules that have been known to inhibit it. In this study, a dataset of indole-2-carboxamides showing antitubercular activity by inhibiting MmpL3 was utilized. Initially, a chimera-based homology model was developed and docking was performed with the filtered dataset to analyse the interactions. Thereafter, molecular dynamics simulations were run with representative molecules to gain a better insight on the binding patterns. To attain a more quantitative correlation, an atom-based 3D QSAR model was developed which complemented the results from the previous models. A library of novel indole-2-carboxamides was then generated using core hopping-based ligand enumeration and upon screening on our workflow model it predicted three molecules as potent antitubercular compounds. This work not only helps to gain new insights on the interactions at the MmpL3 binding site but also provides novel indole-2-carboxamides having the potential to become antitubercular drugs in future.

Acknowledgements

The authors are grateful to Manipal – Schrodinger Centre for Molecular Simulations, Manipal Academy of Higher Education, for providing facilities to carry out the research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed at: https://doi.org/10.1080/1062936X.2022.2096691

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

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