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J Biomol Struct Dyn ; 40(22): 11885-11899, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34409917

RESUMO

Over the years, Mycobacterium tuberculosis has been one of the major causes of death worldwide. As several clinical isolates of the bacteria have developed drug resistance against the target sites of the current therapeutic agents, the development of a novel drug is the pressing priority. According to recent studies on Mycobacterium tuberculosis, ATP binding sites of Mycobacterium tuberculosis serine/threonine protein kinases (MTPKs) have been identified as the new promising drug target. Among the several other protein kinases (PKs), Protein kinase G (PknG) was selected for the study because of its crucial role in modulating bacterium's metabolism to survive in host macrophages. In this work, we have focused on the H37Rv strain of Mycobacterium tuberculosis. A list of 477 flavanones obtained from the PubChem database was docked one by one against the crystallized and refined structure of PknG by in-silico techniques. Initially, potential inhibitors were narrowed down by preliminary docking. Flavanones were then selected using binding energies ranging from -7.9 kcal.mol-1 to -10.8 kcal.mol-1. This was followed by drug-likeness prediction, redocking analysis, and molecular dynamics simulations. Here, we have used experimentally confirmed drug AX20017 as a reference to determine candidate compounds that can act as potential inhibitors for PknG. PubChem165506, PubChem242065, PubChem688859, PubChem101367767, PubChem3534982, and PubChem42607933 were identified as possible target site inhibitors for PknG with a desirable negative binding energy of -8.1, -8.3, -8.4, -8.8, -8.6 and -7.9 kcal.mol-1 respectively. Communicated by Ramaswamy H. Sarma.


Assuntos
Mycobacterium tuberculosis , Mycobacterium tuberculosis/metabolismo , Proteínas Quinases Dependentes de GMP Cíclico/química , Proteínas Quinases Dependentes de GMP Cíclico/metabolismo , Proteínas de Bactérias/química , Sítios de Ligação , Trifosfato de Adenosina/metabolismo , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular
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