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作为抑制剂的磺胺衍生物:计算机模拟方法

Sulfonamide derivatives as inhibitors: in silico approach.

作者信息

Pradhan Sayantan, Sinha Chittaranjan

机构信息

Department of Chemistry, Jadavpur University, Kolkata, 700 032 India.

出版信息

In Silico Pharmacol. 2018 Mar 22;6(1):4. doi: 10.1007/s40203-018-0041-9. eCollection 2018.

Abstract

Both DHPS (dihydropteroate synthase) and DHFR (dihydrofolate reductase) play important physiological roles in the survivability of (MTB). Sulfonamides are the potent drugs to monitor growth and proliferation of MTBs by inhibiting the activity of DHPS and DHFR which could explain the mechanism of action of these molecules. In this work, 102 heterocyclic sulfonamides (HSF) have been screened by discovery studio molecular docking programme to search the best suitable molecule for the treatment of MTBs. Lipinski's rule of five protocols is followed to screen drug likeness of these molecules and ADMET (absorption, distribution, metabolism, excretion and toxicity) filtration has been used to value their toxicity. Only fourteen molecules are found to obey the Lipinski's rule and able to cross the ADMET filter. A small difference between HOMO and LUMO energy signifies the electronic excitation energy which is essential to calculate molecular reactivity and stability of the best docked compound and easy activation of drug in the protein environment. Both 4-amino--(6-hydroxypyridin-2-yl)benzenesulfonamide () and 4-amino--(9H-carbazol-2-yl)benzenesulfonamide () show the best theoretical efficiency with DHPS and DHFR, respectively. These compounds are also found to bind to the adenine-thymine region of tuberculosis DNA.

摘要

二氢蝶酸合酶(DHPS)和二氢叶酸还原酶(DHFR)在结核分枝杆菌(MTB)的生存能力中都发挥着重要的生理作用。磺胺类药物是通过抑制DHPS和DHFR的活性来监测MTB生长和增殖的有效药物,这可以解释这些分子的作用机制。在这项工作中,通过发现工作室分子对接程序筛选了102种杂环磺胺(HSF),以寻找治疗MTB的最合适分子。遵循Lipinski的五规则协议来筛选这些分子的药物相似性,并使用ADMET(吸收、分布、代谢、排泄和毒性)过滤来评估它们的毒性。仅发现14种分子符合Lipinski规则并能够通过ADMET过滤。最高已占分子轨道(HOMO)和最低未占分子轨道(LUMO)能量之间的微小差异表示电子激发能,这对于计算最佳对接化合物的分子反应性和稳定性以及药物在蛋白质环境中的易活化性至关重要。4-氨基-(6-羟基吡啶-2-基)苯磺酰胺()和4-氨基-(9H-咔唑-2-基)苯磺酰胺()分别与DHPS和DHFR显示出最佳的理论效率。还发现这些化合物与结核DNA的腺嘌呤-胸腺嘧啶区域结合。

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