{"title":"计算机模拟数据显示的 N-乙酰天冬氨酰谷氨酸合成酶酶-底物复合物的结构和动力学特征","authors":"I. V. Polyakov, A. V. Krivitskaya, M. G. Khrenova","doi":"10.3103/S0027131424700238","DOIUrl":null,"url":null,"abstract":"<p><i>N</i>-Acetylaspartylglutamate (NAAG) is the most common dipeptide in brain cells, which is synthesized using the enzyme <i>N</i>-acetylaspartylglutamate synthase. In this study, we utilize bioinformatics methods to predict the protein structure based on the primary sequence of the coding gene, classical molecular dynamics to obtain a stable protein complex with <i>N</i>-acetylaspartate and glutamate ligands within the trajectory, and machine learning methods to analyze, describe, and select potential reactive and nonreactive conformations of the model system describing the enzyme–substrate complex. Molecular dynamics trajectories are obtained for a set of selected conformations within the framework of the method of combined quantum and classical molecular mechanics, and the active site of the protein–ligand complex and potential reaction mechanism are characterized.</p>","PeriodicalId":709,"journal":{"name":"Moscow University Chemistry Bulletin","volume":"79 4","pages":"239 - 245"},"PeriodicalIF":0.7000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Structure and Dynamics of the Enzyme–Substrate Complex of N-Acetylaspartylglutamate Synthase According to the Computer Simulation Data\",\"authors\":\"I. V. Polyakov, A. V. Krivitskaya, M. G. Khrenova\",\"doi\":\"10.3103/S0027131424700238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><i>N</i>-Acetylaspartylglutamate (NAAG) is the most common dipeptide in brain cells, which is synthesized using the enzyme <i>N</i>-acetylaspartylglutamate synthase. In this study, we utilize bioinformatics methods to predict the protein structure based on the primary sequence of the coding gene, classical molecular dynamics to obtain a stable protein complex with <i>N</i>-acetylaspartate and glutamate ligands within the trajectory, and machine learning methods to analyze, describe, and select potential reactive and nonreactive conformations of the model system describing the enzyme–substrate complex. Molecular dynamics trajectories are obtained for a set of selected conformations within the framework of the method of combined quantum and classical molecular mechanics, and the active site of the protein–ligand complex and potential reaction mechanism are characterized.</p>\",\"PeriodicalId\":709,\"journal\":{\"name\":\"Moscow University Chemistry Bulletin\",\"volume\":\"79 4\",\"pages\":\"239 - 245\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Moscow University Chemistry Bulletin\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0027131424700238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Moscow University Chemistry Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0027131424700238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
The Structure and Dynamics of the Enzyme–Substrate Complex of N-Acetylaspartylglutamate Synthase According to the Computer Simulation Data
N-Acetylaspartylglutamate (NAAG) is the most common dipeptide in brain cells, which is synthesized using the enzyme N-acetylaspartylglutamate synthase. In this study, we utilize bioinformatics methods to predict the protein structure based on the primary sequence of the coding gene, classical molecular dynamics to obtain a stable protein complex with N-acetylaspartate and glutamate ligands within the trajectory, and machine learning methods to analyze, describe, and select potential reactive and nonreactive conformations of the model system describing the enzyme–substrate complex. Molecular dynamics trajectories are obtained for a set of selected conformations within the framework of the method of combined quantum and classical molecular mechanics, and the active site of the protein–ligand complex and potential reaction mechanism are characterized.
期刊介绍:
Moscow University Chemistry Bulletin is a journal that publishes review articles, original research articles, and short communications on various areas of basic and applied research in chemistry, including medical chemistry and pharmacology.