{"title":"Molecular Modeling of Enoyl Acyl Carrier Protein Reductase Inhibitors for Mycobacterium tuberculosis and their Pharmacokinetic Predictions","authors":"Narcisse Fidèle Zonon, Logbo Mathias Mousse, Koffi N’Guessan Placide Gabin Allangba, Koffi Charles Kouman, Eugene Megnassan","doi":"10.9734/jpri/2023/v35i287446","DOIUrl":null,"url":null,"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})\\).","PeriodicalId":16718,"journal":{"name":"Journal of Pharmaceutical Research International","volume":"37 S6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmaceutical Research International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/jpri/2023/v35i287446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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 \((0.1-0.2 \mathrm{nM})\).