Molecular Modeling of Enoyl Acyl Carrier Protein Reductase Inhibitors for Mycobacterium tuberculosis and their Pharmacokinetic Predictions

Zonon, Narcisse Fidèle and Mousse, Logbo Mathias and Allangba, Koffi N’Guessan Placide Gabin and Kouman, Koffi Charles and Megnassan, Eugene (2023) Molecular Modeling of Enoyl Acyl Carrier Protein Reductase Inhibitors for Mycobacterium tuberculosis and their Pharmacokinetic Predictions. Journal of Pharmaceutical Research International, 35 (28). pp. 1-27. ISSN 2456-9119

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Abstract

Tuberculosis (TB) is a deep public health concern worldwide worsened by reported multi drugresistant (MDR) and extensively drug- resistant (XDR) stralins of Mycobacterium tuberculosis, the causative agent of the disease. A new class of thiadiazole inhibitors were reported to inhibit the enoyl-acyl transporter protein reductase (InhA) of Mycobacterium tuberculosis (MTb). We performed here the computer-aided molecular design of novel thiadiazole (TDZ) inhibitors of InhA by in situ modifying the reference crystal structure of (S)-1-(5-((1-(2,6-difluorobenzyl)-1 H-pyrazol-3yl)amino)-1,3,4-thiadiazol-2-yl)-1-(4-methylthiazol-2-yl)ethanol-InhA (PDB code: 4BQP). Thus a training set of 15 hybrids with known inhibition potency
was selected to establish a onedescriptor quantitative structure-activity relationship (QSAR) model resulting in a linear correlation between the Gibbs free energy (GFE) during the formation of the InhA-TDZ complex and
F-test of The 3D pharmacophore model
generated from the active conformations of TDZs (
F-test of ) served as a virtual screening tool for new analogs from a virtual library (VL). The combination of molecular modeling and in silico screening of (resulted in the identification of novel potent antitubercular agent candidates with favorable pharmacokinetic profiles of which the six best hits predicted inhibitory potencies in the sub nanomolar range

Item Type: Article
Subjects: GO for STM > Medical Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 31 Oct 2023 06:34
Last Modified: 31 Oct 2023 06:34
URI: http://archive.article4submit.com/id/eprint/1964

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