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Quantitative structure-activity relationship model, molecular docking simulation and computational design of some novel compounds against DNA gyrase receptor.

Abstract：

INTRODUCTION:Mycobacterium tuberculosis has instigated a serious challenge toward the effective treatment of tuberculosis. The reoccurrence of the resistant strains of the disease to accessible drugs/medications has mandate for the development of more effective anti-tubercular agents with efficient activities. Time expended and costs in discovering and synthesizing new hypothetical drugs with improved biological activity have been a major challenge toward the treatment of multi-drug resistance strain M. tuberculosis (TB). Meanwhile, to solve the problem stated, a new approach i.e. QSAR which establish connection between novel drugs with a better biological against M. tuberculosis is adopted. METHODS:The anti-tubercular model established in this study to forecast the biological activities of some anti-tubercular compounds selected and to design new hypothetical drugs is subjective to the molecular descriptors; MATS7s, SM1_DzZ, SpMin4_Bhv, TDB3v and RDF70v. Ligand-receptor interactions between quinoline derivatives and the receptor (DNA gyrase) was carried out using molecular docking technique by employing the PyRx virtual screening software and discovery studio visualizer software. Furthermore, docking study indicates that compounds 20 of the derivatives with promising biological activity have the utmost binding energy of -17.79 kcal/mol. RESULTS:Meanwhile, the interaction of the standard drug; isoniazid with the target enzyme was observed with the binding energy -14.6 kcal/mol which was significantly lesser than the binding energy of the ligand (compound 20).Therefore, compound 20 served as a template structure to designed compounds with more efficient activities. Among the compounds designed; compounds 20p was observed with better anti-tubercular activities with more prominent binding affinities of -24.3kcal/mol. CONCLUSION:The presumption of this research aid the medicinal chemists and pharmacist to design and synthesis a novel drug candidate against the tuberculosis. Moreover, in-vitro and in-vivo test could be carried out to validate the computational results.

journal_name

Curr Comput Aided Drug Des

journal_title

Current computer-aided drug design

authors

Adeniji SE

doi

10.2174/1573409916666200625142447

subject

Has Abstract

pub_date

2020-06-25 00:00:00

eissn

1573-4099

issn

1875-6697

pii

CAD-EPUB-107645

pub_type

杂志文章

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Quantitative structure-activity relationship model, molecular docking simulation and computational design of some novel compounds against DNA gyrase receptor.