Yalcin-Ozkat Gozde, Ersan Ronak H, Ulger Mahmut, Ulger Seda T, Burmaoglu Serdar, Yildiz Ilkay, Algul Oztekin
Max Planck Institute for Dynamics of Complex Technical Systems, Molecular Simulations and Design Group, Magdeburg, Germany.
Faculty of Engineering, Bioengineering Department, Recep Tayyip Erdogan University, Rize, Turkey.
J Biomol Struct Dyn. 2023 Apr;41(7):2667-2686. doi: 10.1080/07391102.2022.2036241. Epub 2022 Feb 8.
The increase in the drug-resistant strains of has led researchers to new drug targets. The development of new compounds that have effective inhibitory properties with the selective vital structure of is required in new scientific approaches. The most important of these approaches is the development of inhibitor molecules for Mycobacterium cell wall targets. In this study, first of all, the antitubercular activity of 23 benzimidazole derivatives was experimentally determined. And then molecular docking studies were carried out with 4 different targets: Arabinosyltransferase C (EmbC), Filamentous Temperature Sensitive Mutant Z (FtsZ), Protein Tyrosine Phosphatase B (PtpB), and Decaprenylphosphoryl-β-D-ribose-2'-oxidase (DprE1). It has been determined that benzimidazole derivatives show activity through the DprE1 enzyme. It is known that DprE1, which has an important role in the synthesis of the cell envelope from Arabinogalactan, is also effective in the formation of drug resistance. Due to this feature, the DprE1 enzyme has become an important target for drug development studies. Also, it was chosen as a target for this study. This study aims to identify molecules that inhibit DprE1 for the development of more potent and selective antitubercular drugs. For this purpose, molecular docking studies by AutoDock Vina, and CDOCKER and molecular dynamics (MD) simulations and ADME/Tox analysis were implemented for 23 molecules. The molecules exhibited binding affinity values of less than -8.0 kcal/mol. After determining the compound's anti-TB activities by a screening test, the best-docked results were detected using compounds , , and . It was found that , was the best molecule with its binding affinity value, which was supported by MD simulations and ADME modeling results.Communicated by Ramaswamy H. Sarma.
[细菌名称]耐药菌株的增加促使研究人员寻找新的药物靶点。新的科学方法需要开发具有有效抑制特性且与[细菌名称]选择性关键结构的新化合物。这些方法中最重要的是开发针对结核分枝杆菌细胞壁靶点的抑制剂分子。在本研究中,首先通过实验测定了23种苯并咪唑衍生物的抗结核活性。然后对4个不同靶点进行了分子对接研究:阿拉伯糖基转移酶C(EmbC)、丝状温度敏感突变体Z(FtsZ)、蛋白酪氨酸磷酸酶B(PtpB)和癸异戊二烯基磷酸化-β-D-核糖-2'-氧化酶(DprE1)。已确定苯并咪唑衍生物通过DprE1酶发挥活性。众所周知,DprE1在由阿拉伯半乳聚糖合成细胞壁包膜中起重要作用,在耐药性形成中也有作用。由于这一特性,DprE1酶已成为药物开发研究的重要靶点。此外,它被选为该研究的靶点。本研究旨在鉴定抑制DprE1的分子,以开发更有效和更具选择性的抗结核药物。为此,对23个分子进行了AutoDock Vina分子对接研究、CDOCKER以及分子动力学(MD)模拟和ADME/Tox分析。这些分子的结合亲和力值小于-8.0 kcal/mol。通过筛选试验确定化合物的抗结核活性后,使用化合物[具体化合物名称1]、[具体化合物名称2]和[具体化合物名称3]检测到最佳对接结果。发现[具体化合物名称1]是具有最佳结合亲和力值的最佳分子,分子动力学模拟和ADME建模结果也支持这一点。由Ramaswamy H. Sarma传达。