{"title":"Probing of Phytofungal Proteins for Fungicidal Activity by Molecular Docking","authors":"P. Mishra, M. Eswaran, N. Raman, T. Kaul","doi":"10.35248/0974-276X.19.12.499","DOIUrl":null,"url":null,"abstract":"Background: Plant fungal diseases are the primary causes of foliage and crop loss eventually affecting the overall economic outcome and yield quality. Hence, various chemical compounds are employed to eradicate the fungi in agriculture. Methods: Virtual screening and molecular docking strategies provide themselves as great alternatives to find lead compounds. Lead compounds for each fungal infection was docked to target protein sequence and assessed for the strongest interaction. Findings: Various molecules were taken under the study, for being the target ligands to bring about a fungicidal reaction in the plant pathogen system. The screening of molecules was done thoroughly to produce the results. Ligands identified through this study allow us to make plant host fight against the fungal pathogen and prevent the occurrence of the disease. The interactions have been thoroughly studied with various softwares like SPDBV and PyMol and through various online databases like STRING, GenePept, PDB, UniProt, PatchDock, Protein structure prediction server -2 and others for the overall evaluation of the drug molecule designed and to study its overall effects for the overall higher efficacy and to prevent the occurrence of the fungal disease and management of the fungal pathogens in agriculture against various economically valuable plants. The lead compounds revealed several hydrophobic and polar contacts were demonstrated by comparing interactions. Applications: The molecular affinity of the fungicidal compound has been tested against the target pathogen as well as the host system components to understand the interaction and to draw out the functioning and the analysis. The compatibility between the molecule and the protein has been studied to decipher the effectiveness of the molecule and its effects in the system. The present results let us establish lead compounds that can be used for the development of antifungal drugs although structural activity relationship studies have to be undertaken.","PeriodicalId":73911,"journal":{"name":"Journal of proteomics & bioinformatics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35248/0974-276X.19.12.499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Background: Plant fungal diseases are the primary causes of foliage and crop loss eventually affecting the overall economic outcome and yield quality. Hence, various chemical compounds are employed to eradicate the fungi in agriculture. Methods: Virtual screening and molecular docking strategies provide themselves as great alternatives to find lead compounds. Lead compounds for each fungal infection was docked to target protein sequence and assessed for the strongest interaction. Findings: Various molecules were taken under the study, for being the target ligands to bring about a fungicidal reaction in the plant pathogen system. The screening of molecules was done thoroughly to produce the results. Ligands identified through this study allow us to make plant host fight against the fungal pathogen and prevent the occurrence of the disease. The interactions have been thoroughly studied with various softwares like SPDBV and PyMol and through various online databases like STRING, GenePept, PDB, UniProt, PatchDock, Protein structure prediction server -2 and others for the overall evaluation of the drug molecule designed and to study its overall effects for the overall higher efficacy and to prevent the occurrence of the fungal disease and management of the fungal pathogens in agriculture against various economically valuable plants. The lead compounds revealed several hydrophobic and polar contacts were demonstrated by comparing interactions. Applications: The molecular affinity of the fungicidal compound has been tested against the target pathogen as well as the host system components to understand the interaction and to draw out the functioning and the analysis. The compatibility between the molecule and the protein has been studied to decipher the effectiveness of the molecule and its effects in the system. The present results let us establish lead compounds that can be used for the development of antifungal drugs although structural activity relationship studies have to be undertaken.
背景:植物真菌病害是造成叶片和作物损失的主要原因,最终影响整体经济效益和产量质量。因此,各种化合物被用来消灭农业中的真菌。方法:虚拟筛选和分子对接策略为寻找先导化合物提供了很好的选择。每种真菌感染的先导化合物与目标蛋白序列对接,并评估最强相互作用。研究结果:采用多种分子作为靶配体,在植物病原菌系统中引起杀真菌反应。分子的筛选是彻底的,以产生结果。通过本研究鉴定的配体使我们能够使植物寄主对抗真菌病原体,防止病害的发生。利用SPDBV、PyMol等软件,以及STRING、GenePept、PDB、UniProt、PatchDock、Protein structure prediction server -2等在线数据库,对设计的药物分子进行全面评价,研究其整体效果,提高整体疗效,预防真菌病害的发生,管理农业真菌病原体对各种经济价值植物的危害。通过相互作用的比较,证明了先导化合物具有疏水性和极性接触。应用:通过对目标病原体和宿主系统成分的分子亲和性测试,了解其相互作用,并得出其功能和分析。研究了分子与蛋白质之间的相容性,以破译分子的有效性及其在系统中的作用。目前的结果使我们能够建立可用于开发抗真菌药物的先导化合物,尽管必须进行结构活性关系研究。