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通过计算方法探索作为抗结核活性的 DprE1 抑制剂的生物源性查耳酮。

Exploring biogenic chalcones as DprE1 inhibitors for antitubercular activity via in silico approach.

机构信息

Department of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.

Department of Pharmacology, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.

出版信息

J Mol Model. 2023 Mar 27;29(4):113. doi: 10.1007/s00894-023-05521-8.

Abstract

Cases of drug-resistant tuberculosis (TB) have increased worldwide in the last few years, and it is a major threat to global TB control strategies and the human population. Mycobacterium tuberculosis is a common causative agent responsible for increasing cases of TB and as reported by WHO, approximately, 1.5 million death occurred from TB in 2020. Identification of new therapies against drug-resistant TB is an urgent need to be considered primarily. The current investigation aims to find the potential biogenic chalcone against the potential targets of drug-resistant TB via in silico approach. The ligand library of biogenic chalcones was screened against DprE1. Results of molecular docking and in silico ADMET prediction revealed that ZINC000005158606 has lead-like properties against the targeted protein. Pharmacophore modeling was done to identify the pharmacophoric features and their geometric distance present in ZINC000005158606. The binding stability study performed using molecular dynamics (MD) simulation of the DprE1-ZINC000005158606 complex revealed the conformational stability of the complex system over 100 ns with minimum deviation. Further, the in silico anti-TB sensitivity of ZINC000005158606 was found to be higher as compared to the standards against Mycobacterium tuberculosis. The overall in silico investigation indicated the potential of identified hit to act as a lead molecule against Mycobacterium tuberculosis.

摘要

近年来,全球范围内耐多药结核病(TB)病例有所增加,这对全球结核病控制策略和人类构成了重大威胁。结核分枝杆菌是导致结核病病例增加的常见病原体,据世界卫生组织报告,2020 年约有 150 万人死于结核病。因此,急需寻找针对耐多药结核病的新疗法。本研究旨在通过计算机辅助方法寻找针对耐多药结核病潜在靶点的生物源性查耳酮。对生物源性查耳酮的配体库进行了 DprE1 筛选。分子对接和计算机 ADMET 预测结果表明,ZINC000005158606 对靶蛋白具有类药性。进行药效团建模以确定 ZINC000005158606 中存在的药效团特征及其几何距离。通过对 DprE1-ZINC000005158606 复合物进行分子动力学(MD)模拟的结合稳定性研究表明,该复合物系统在 100 ns 以上具有最小偏差,构象稳定。此外,与标准药物相比,ZINC000005158606 对结核分枝杆菌的计算机抗结核敏感性更高。总的来说,计算机研究表明,所鉴定的命中化合物具有作为抗结核分枝杆菌的潜在先导分子的潜力。

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