Skip to content
Research Article Open access CC BY 4.0

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

Narcisse Fidèle Zonon, Logbo Mathias Mousse, Koffi N’Guessan Placide Gabin Allangba, Koffi Charles Kouman, Eugene Megnassan

Journal of Pharmaceutical Research International · pp. 1–27 · Published 30 Oct 2023

10.9734/jpri/2023/v35i287446

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 \(\left(\mathrm{IC}_{50}^{\exp }\right)\) 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 \(\mathrm{IC}_{50}^{\mathrm{exp}}\left(\mathrm{plC} \mathrm{C}_{50} \exp ==-0.29 \mathrm{x} \Delta \Delta \mathrm{G}_{\mathrm{com}}+8.13 ; \mathrm{n}=15 ; \mathrm{R}^2=0.92, \mathrm{R}^2{ }_{\mathrm{xv}}=0.91 ;\right.\) F-test of \(142.6 ; \sigma=0.21 ; \alpha>\) \(\left.95 \% ; R^2-R_{x v}^2=0.01\right)\). The 3D pharmacophore model \((\mathrm{PH} 4)\) generated from the active conformations of TDZs ( \(\mathrm{pIC}_{50}^{\mathrm{exp}}=0.93 \times \mathrm{pIC}_{50}^{\text {pred }}+0.47 ; \mathrm{n}=15 ; \mathrm{R}^2=0.97 ; \mathrm{R}_{\mathrm{xv}}=0.94 ;\) F-test of \(215.45 ; \sigma=0.17 ; \alpha>98 \% ; R^2-R_{x v}^2=0.03\) ) served as a virtual screening tool for new analogs from a virtual library (VL). The combination of molecular modeling and \(\mathrm{PH} 4\) in silico screening of (\(\mathrm{VL}\)) resulted in the identification of novel potent antitubercular agent candidates with favorable pharmacokinetic profiles of which the six best hits predicted inhibitory potencies \(\mathrm{IC}_{50}^{\text {pre }}\) in the sub nanomolar range \((0.1-0.2 \mathrm{nM})\).

Tuberculosis enoyl-acyl carrier protein reductase (InhA) molecular modeling QSAR models pharmacophore combinatorial library ADME properties prediction

Cited by 1

1 citation reported by external sources — individual citing-article records aren't available to list yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

1

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.