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沃尔植物化合物与细菌和真菌病原体中负责抗生素耐药性的蛋白质的分子对接研究:提高抗生素生物利用度的方法

Molecular docking studies of phytocompounds of Wall with proteins responsible for antibiotic resistance in bacterial and fungal pathogens: approach to enhance the bio-availability of antibiotics.

作者信息

Rolta Rajan, Salaria Deeksha, Kumar Vikas, Patel Chirag N, Sourirajan Anuradha, Baumler David J, Dev Kamal

机构信息

Faculty of Applied sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, District Solan, Himachal Pradesh, India.

Department of Botany, Bioinformatics and Climate Change Impacts Management, University School of Science, Gujarat University, Ahmedabad, India.

出版信息

J Biomol Struct Dyn. 2022 May;40(8):3789-3803. doi: 10.1080/07391102.2020.1850364. Epub 2020 Nov 23.

DOI:10.1080/07391102.2020.1850364
PMID:33225862
Abstract

Wall. (Himalayan rhubarb) has many pharmacological activities such as antioxidant, antimicrobial, antiviral, anticancer and wound healing. The present study was aimed to understand if major phytocompounds of could bind proteins responsible for antibiotic resistance in bacterial and fungal pathogens and enhance the potency of antibiotics. The major phytocompounds of (emodin, rhein-13c6 and chrysophenol dimethy ether) were retrieved from the Pubchem and target proteins were retrieved from RCSB protein data bank. The docking study was performed by using AutoDock vina software and Molinspiration, swiss ADME servers were used for the determination of Lipinski rule of 5, drug-likeness prediction respectively, whereas, admetSAR and Protox-II tools were used for toxicity prediction. To study the docking accuracy of protein-ligand complexes, MD simulation for 100 ns was done by using Desmond program version 2.0 (Academic version). Among all the selected phytocompounds, emodin showed the best binding affinity against bacterial (Penicillin binding protein 3, 3VSL and fungal target (cytochrome P450 14 alpha-sterol demethylase 1EA1) with binding energy -8.2 and -8.0 Kcal mol respectively. Similarly, rhein-13C6 showed the best binding affinity against fungal target (n-myristoyl transferase 1IYL) with binding energy -8.0 Kcal mol which is higher than antibacterial and antifungal antibiotics. All the selected phytocompounds also fulfill Lipinski rule, non-carcinogenic and non-cytotoxic in nature. These compounds also showed high LD value showing non-toxicity of these phytocompounds. MD simulation studies of phytocompounds (emodin and rhein-13C6) define the stability of protein-ligand complexes with in 100 ns time scale.Communicated by Freddie R. Salsbury.

摘要

大黄(喜马拉雅大黄)具有多种药理活性,如抗氧化、抗菌、抗病毒、抗癌和伤口愈合等。本研究旨在了解大黄的主要植物化合物是否能与细菌和真菌病原体中负责抗生素耐药性的蛋白质结合,并增强抗生素的效力。从Pubchem中检索大黄的主要植物化合物(大黄素、rhein - 13c6和 Chrysophenol二甲醚),从RCSB蛋白质数据库中检索靶蛋白。使用AutoDock vina软件进行对接研究,使用Molinspiration、swiss ADME服务器分别测定Lipinski五规则、药物相似性预测,而使用admetSAR和Protox - II工具进行毒性预测。为了研究蛋白质 - 配体复合物的对接准确性,使用Desmond程序版本2.0(学术版)进行了100 ns的分子动力学模拟。在所有选定的植物化合物中,大黄素对细菌(青霉素结合蛋白3, 3VSL)和真菌靶点(细胞色素P450 14α - 甾醇脱甲基酶1EA1)表现出最佳结合亲和力,结合能分别为 - 8.2和 - 8.0 kcal/mol。同样,rhein - 13C6对真菌靶点(n - 肉豆蔻酰转移酶1IYL)表现出最佳结合亲和力,结合能为 - 8.0 kcal/mol,高于抗菌和抗真菌抗生素。所有选定的植物化合物也符合Lipinski规则,本质上无致癌性和细胞毒性。这些化合物还显示出高LD值,表明这些植物化合物无毒。植物化合物(大黄素和rhein - 13C6)的分子动力学模拟研究确定了蛋白质 - 配体复合物在100 ns时间尺度内的稳定性。由Freddie R. Salsbury传达。

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