针对抗菌性和伤口愈合蛋白的四棱松和臭椿植物成分的硅学筛选

Aparna S. Sivapria, B. Kariyil, Priyanka Menon K., Hari Sankar V J
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引用次数: 0

摘要

硅学筛选是一种方法论,对于合理的药物设计和确定潜在的治疗药物非常重要。在抗生素耐药性感染性伤口方面,分子对接可以让人们更深入地了解植物化合物如何干扰细菌的毒力和抗生素耐药性。在这项研究中,涉及抗菌药耐药性和伤口愈合的蛋白质分别与四棱木乙酸乙酯提取物(EACQ)和异色菊乙醇提取物(EECO)这两种传统药用植物的主要植物成分进行了对接。人和小鼠的白细胞介素 6(PDB id:1n26)、大鼠的 IL6(Uniprot id p 20607)、人、小鼠和大鼠的血管内皮生长因子(VEGFR,PDB id:2ctw)以及金黄色葡萄球菌的青霉素结合蛋白 2a(PBP2a,PDB id:1vqq)的受体结构均从 RCSB 蛋白数据库中下载。配体结构以结构数据文件(.SDF)格式从 PubChem 化合物数据库下载。对接研究使用 Autodock4 进行,对接分析结果使用 Discovery Studio Visualizer 可视化。对接日志(dlg)文件包含一个 RMSD 表,以 Kcal/mol 为单位提供了每个分子在最佳对接姿态下的结合能值,有助于深入了解分子对接模拟的结构准确性和配体与受体的相互作用强度。配体的硅学分析表明,EACQ 的角鲨烯和 EECO 的表白皮酚与抗菌蛋白和伤口愈合蛋白的结合能最小。因此,这些化合物有望成为对抗感染性伤口的先导分子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IN SILICO SCREENING OF PHYTOCONSTITUENTS OF CISSUS QUADRANGULARIS AND CHROMOLAENA ODORATA AGAINST PROTEINS OF ANTIMICROBIAL RESISTANCE AND WOUND HEALING
In silico screening is a methodological approach, which is invaluable for rational drug design and the identification of potential therapeutic agents. In the context of antibiotic-resistant infectious wounds, molecular docking can provide a deeper understanding of how phytocompounds might interfere with bacterial virulence and antibiotic resistance. In this study, proteins involved in antimicrobial resistance and wound healing were docked against major phytoconstituents of ethyl acetate extract of Cissus quadrangularis (EACQ) and ethanol extract of Chromolaena odorata (EECO), two medicinal plants that have been traditionally used. Receptor structures for interleukin 6 (PDB id: 1n26) of human and mice, IL6 (Uniprot id p 20607) of rat, vascular endothelial growth factor (VEGFR, PDB id: 2ctw) for human, mice, rat and penicillin binding protein 2a (PBP2a, PDB id: 1vqq) of S. aureus were downloaded from the database of the RCSB protein data bank. The ligand structures were downloaded from PubChem compound database in structure data file (.SDF) format. The docking studies were conducted using Autodock4. and the results of the docking analysis were visualised using Discovery Studio Visualizer. The docking log (dlg) file, featuring an RMSD table, provides binding energy values in Kcal/mol for each molecule at its optimal docked postures, offering insights into structural accuracy and ligand-receptor interaction strength in molecular docking simulations. In silico analysis of ligands showed that squalene of EACQ and epilupeol of EECO had the least binding energy towards proteins of antimicrobial resistance and wound healing. Thus, these compounds could emerge as promising lead molecules against infectious wounds.
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