Isatin与苯乙酮衍生物抗菌药物的硅分子对接研究

Yamini, devprakash dahiya, C. Kumari, A. Soni, Meena
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引用次数: 0

摘要

杂环分子isatin(1H-吲哚-2,3-二酮)及其衍生物形成了一个重要的化学家族,可以用作制造药物的构建块。在被称为对接的计算方法中,不同的软件工具产生配体与受体连接的不同位置。在Molegro虚拟docker软件(6.0版)和PDB 3ACX的帮助下,本研究试图对27种开发的靛蓝和苯乙酮衍生物进行高通量的计算机筛选。对接结果显示,标准药物氨苄青霉素的摩尔对接得分为-103.345,并且存在一个氢键相互作用。另一方面,基于靛红和苯乙酮的衍生物YDA 27、YDA 26、YDA 25、YDA 17和YDA 7表现出优异的摩尔对接分额,对接得分范围为-104.23至-121.126。除了mol dock评分外,大多数研究的化合物都观察到与PDB的氨基酸具有良好的氢键。化合物YDA 27、YDA 26、YDA 25、YDA 17和YDA 7表现出3至7个氢键相互作用,而标准药物氨苄青霉素与1个氨基酸Val 133和Val 137表现出氢键相互作用。本研究的结果证实了一些设计的基于靛蓝和苯乙酮的衍生物在计算机上研究时,基于它们的mol dock值和其他参数,具有显著的抗菌潜力,所获得的数据将为未来研究从这些衍生物中开发有效的抗菌剂提供支持和前景。
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In silico Molecular Docking Study of Isatin and Acetophenone Derivatives as Antimicrobial Agent
The heterocyclic molecule isatin (1H-indole-2,3-dione) and its derivatives form a significant family of chemicals that can be employed as building blocks for the manufacture of pharmaceuticals. In the computational method known as docking, different software tools produce different positions at which ligands attach to their receptors. With the help of the Molegro virtual docker software (Version 6.0) and the PDB 3ACX, the present study attempts to perform a high-throughput in silico screening of 27 developed isatin and acetophenone-based derivatives. The docking results showed mol dock scores of -103.345 and one hydrogen bond interaction for the standard drug Ampicillin, on the other hand, the isatin and acetophenone-based derivatives YDA 27, YDA 26, YDA 25, YDA 17 and YDA 7 exhibited excellent mol dock scores and docking scores ranging from -104.23 to -121.126. Apart from the mol dock score, most of the studied compounds observed excellent hydrogen bonding with amino acids of PDB. Compound YDA 27, YDA 26, YDA 25, YDA 17 and YDA 7 showed 3 to 7 hydrogen bond interactions, however, the standard drug Ampicillin showed H-bond interaction with 1 amino acid Val 133 and Val 137. The results of the present study confirmed the significant antimicrobial potential of some designed isatin and acetophenone-based derivatives based on their mol dock values and other parameters when studied in silico, and the data obtained will give data that supports and provides perspectives in future research to develop an effective antimicrobial agent from these derivatives.
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