{"title":"Are Coumarin Derivatives The New Keys in Depression Treatment? In silico Key-lock Fitting Analysis of Coumarin Derivatives with Monoamine Oxidase-A","authors":"D. Karaman, K. Yelekçi, S. Altuntas","doi":"10.14805/jphchem.2020.art119","DOIUrl":null,"url":null,"abstract":"The research of ligand-protein interactions with in silico molecular modeling studies on the atomic level gives an opportunity to be understood the pharmacokinetic metabolism of anti-depressant drug candidates. Monoamine oxidase (MAO) enzymes are important targets for the treatment of depressive disorder. MAOs have two isoforms as MAO-A and MAO-B being responsible for catalyzing of neurological amines. In this study a new series of coumarin derivatives were designed for selective and reversible inhibition of MAO-A enzyme. 3rd, 5th and 7th positions were selected to be placed of five different side groups. Docking procedures of each ligand in M series of these novel 125 compounds were executed with 10 runs by using AutoDock4.2 software. Docking results were analyzed via Discovery Studio 3.1 (Biovia Inc.). The most promising compounds were M118 and M123 according to selectivity index, SI (MAO-B/MAO-A)=180 fold and 209 fold and Ki values 7.25 nM and 12.01 nM, respectively. Overall, the current study provided significant knowledge for the development of new anti-depressant drugs.","PeriodicalId":14317,"journal":{"name":"International Journal of Pharmaceutical Chemistry","volume":"312 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pharmaceutical Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14805/jphchem.2020.art119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The research of ligand-protein interactions with in silico molecular modeling studies on the atomic level gives an opportunity to be understood the pharmacokinetic metabolism of anti-depressant drug candidates. Monoamine oxidase (MAO) enzymes are important targets for the treatment of depressive disorder. MAOs have two isoforms as MAO-A and MAO-B being responsible for catalyzing of neurological amines. In this study a new series of coumarin derivatives were designed for selective and reversible inhibition of MAO-A enzyme. 3rd, 5th and 7th positions were selected to be placed of five different side groups. Docking procedures of each ligand in M series of these novel 125 compounds were executed with 10 runs by using AutoDock4.2 software. Docking results were analyzed via Discovery Studio 3.1 (Biovia Inc.). The most promising compounds were M118 and M123 according to selectivity index, SI (MAO-B/MAO-A)=180 fold and 209 fold and Ki values 7.25 nM and 12.01 nM, respectively. Overall, the current study provided significant knowledge for the development of new anti-depressant drugs.
配体-蛋白质相互作用的研究与硅分子模型在原子水平上的研究为了解抗抑郁候选药物的药代动力学代谢提供了机会。mao有两个同工异构体,分别是MAO-A和MAO-B,负责催化神经胺。选择第3、5、7个位置放置5个不同的边组。利用AutoDock4.2软件对这125个新化合物M系列中的每个配体进行10次对接。对接结果通过Discovery Studio 3.1 (Biovia Inc.)进行分析。总的来说,本研究为新型抗抑郁药物的开发提供了重要的知识。