Structure based identification of novel inhibitors against ATP synthase of Mycobacterium tuberculosis: A combined in silico and in vitro study.


Journal

International journal of biological macromolecules
ISSN: 1879-0003
Titre abrégé: Int J Biol Macromol
Pays: Netherlands
ID NLM: 7909578

Informations de publication

Date de publication:
15 Aug 2019
Historique:
received: 12 02 2019
revised: 15 05 2019
accepted: 18 05 2019
pubmed: 24 5 2019
medline: 18 12 2019
entrez: 24 5 2019
Statut: ppublish

Résumé

The shortcomings of conventional tuberculosis treatments resulting from the development of drug resistance in Mycobacterium tuberculosis drive a need for the formulation of novel therapeutic agents. The diarylquinoline class of drugs such as bedaquiline was recently approved for the treatment of multidrug-resistant strains of tuberculosis, primarily targeting c and ε subunits of the ATP synthases. Yet resistance to bedaquiline has already been reported. Therefore, Rv1311 was used as the target for the identification of possible inhibitors against the M. tuberculosis. The structure of Rv1311 was predicted and common feature pharmacophore models were generated which facilitated the identification of potential inhibitors in the ZINC database. The activities of the selected molecules were compared with known inhibitors of the ATP synthase using quantitative structure-activity relationship. The ZINC classified inhibitors showed comparable predicted activities with that of known inhibitors. Furthermore, the inhibitory behavior of the studied drug molecules was experimentally determined using in vitro techniques and showed the minimum inhibitory concentration as low as 25 μM. The resulted outcomes provide a deeper insight into the structural basis of Rv1311 inhibitions and can facilitate the process of drug design against tuberculosis.

Identifiants

pubmed: 31121229
pii: S0141-8130(19)31095-5
doi: 10.1016/j.ijbiomac.2019.05.108
pii:
doi:

Substances chimiques

Enzyme Inhibitors 0
Mitochondrial Proton-Translocating ATPases EC 3.6.3.-

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

582-590

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Mohd Shahbaaz (M)

South African National Bioinformatics Institute (SANBI), SA Medical Research Council Bioinformatics Unit, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape Town, South Africa.

Ruben Cloete (R)

South African National Bioinformatics Institute (SANBI), SA Medical Research Council Bioinformatics Unit, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape Town, South Africa.

Melanie Grobbelaar (M)

DST-NRF Centre of Excellence for Biomedical Tuberculosis Research, SA MRC Centre for TB Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Samantha Sampson (S)

DST-NRF Centre of Excellence for Biomedical Tuberculosis Research, SA MRC Centre for TB Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Alan Christoffels (A)

South African National Bioinformatics Institute (SANBI), SA Medical Research Council Bioinformatics Unit, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape Town, South Africa. Electronic address: alan@sanbi.ac.za.

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Classifications MeSH