结核分枝杆菌烯丙基酰基载体蛋白还原酶抑制剂的分子模拟及其药代动力学预测

Narcisse Fidèle Zonon, Logbo Mathias Mousse, Koffi N’Guessan Placide Gabin Allangba, Koffi Charles Kouman, Eugene Megnassan
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引用次数: 0

摘要

结核病(TB)是世界范围内严重的公共卫生问题,据报道,该病的病原体结核分枝杆菌(Mycobacterium Tuberculosis)具有多重耐药(MDR)和广泛耐药(XDR)菌株,使其恶化。报道了一类新的噻二唑抑制剂抑制结核分枝杆菌(MTb)烯酰酰基转运蛋白还原酶(InhA)。本文通过原位修饰(S)-1-(5-((1-(2,6-二氟苯基)-1 h -吡唑-3基)氨基)-1,3,4-噻二唑-2-基)-1-(4-甲基噻唑-2-基)乙醇-InhA (PDB代码:4BQP)的参考晶体结构,进行了新型噻二唑(TDZ) InhA抑制剂的计算机辅助分子设计。因此,我们选取了15个已知抑制力\(\left(\mathrm{IC}_{50}^{\exp }\right)\)的杂合物作为训练集,建立了一个单描述定量构效关系(QSAR)模型,得到了InhA-TDZ配合物形成过程中的吉布斯自由能(GFE)与\(142.6 ; \sigma=0.21 ; \alpha>\)\(\left.95 \% ; R^2-R_{x v}^2=0.01\right)\)的\(\mathrm{IC}_{50}^{\mathrm{exp}}\left(\mathrm{plC} \mathrm{C}_{50} \exp ==-0.29 \mathrm{x} \Delta \Delta \mathrm{G}_{\mathrm{com}}+8.13 ; \mathrm{n}=15 ; \mathrm{R}^2=0.92, \mathrm{R}^2{ }_{\mathrm{xv}}=0.91 ;\right.\) f检验之间的线性关系。由TDZs活性构象生成的三维药效团模型\((\mathrm{PH} 4)\) (\(215.45 ; \sigma=0.17 ; \alpha>98 \% ; R^2-R_{x v}^2=0.03\)的f检验\(\mathrm{pIC}_{50}^{\mathrm{exp}}=0.93 \times \mathrm{pIC}_{50}^{\text {pred }}+0.47 ; \mathrm{n}=15 ; \mathrm{R}^2=0.97 ; \mathrm{R}_{\mathrm{xv}}=0.94 ;\))作为虚拟库(VL)中新的类似物的虚拟筛选工具。结合分子建模和\(\mathrm{PH} 4\) (\(\mathrm{VL}\))的硅筛选,鉴定出具有良好药代动力学特征的新型有效抗结核药物候选物,其中六个最佳命中预测抑制效力\(\mathrm{IC}_{50}^{\text {pre }}\)在亚纳摩尔范围\((0.1-0.2 \mathrm{nM})\)。
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Molecular Modeling of Enoyl Acyl Carrier Protein Reductase Inhibitors for Mycobacterium tuberculosis and their Pharmacokinetic Predictions
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 \((0.1-0.2 \mathrm{nM})\).
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