{"title":"[用配体位置过滤预测SARS-CoV-2主蛋白酶抑制]。","authors":"Ya O Ivanova, A I Voronina, V S Skvortsov","doi":"10.18097/PBMC20226806444","DOIUrl":null,"url":null,"abstract":"<p><p>The paper analyzes a set of equations that adequately predict the IC50 value for SARS-CoV-2 main protease inhibitors. The training set was obtained using filtering by criteria independent of prediction of target value. It included 76 compounds, and the test set included nine compounds. We used the values of energy contributions obtained in the calculation of the change of the free energy of complex by MMGBSA method and a number of characteristics of the physical and chemical properties of the inhibitors as independent variables. It is sufficient to use only seven independent variables without loss of prediction quality (Q² = 0.79; R²prediction = 0.89). The maximum error in this case does not exceed 0.92 lg(IC50) units with a full range of observed values from 1.26 to 4.95.</p>","PeriodicalId":8889,"journal":{"name":"Biomeditsinskaya khimiya","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[The prediction of SARS-CoV-2 main protease inhibition with filtering by position of ligand].\",\"authors\":\"Ya O Ivanova, A I Voronina, V S Skvortsov\",\"doi\":\"10.18097/PBMC20226806444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The paper analyzes a set of equations that adequately predict the IC50 value for SARS-CoV-2 main protease inhibitors. The training set was obtained using filtering by criteria independent of prediction of target value. It included 76 compounds, and the test set included nine compounds. We used the values of energy contributions obtained in the calculation of the change of the free energy of complex by MMGBSA method and a number of characteristics of the physical and chemical properties of the inhibitors as independent variables. It is sufficient to use only seven independent variables without loss of prediction quality (Q² = 0.79; R²prediction = 0.89). The maximum error in this case does not exceed 0.92 lg(IC50) units with a full range of observed values from 1.26 to 4.95.</p>\",\"PeriodicalId\":8889,\"journal\":{\"name\":\"Biomeditsinskaya khimiya\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomeditsinskaya khimiya\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18097/PBMC20226806444\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomeditsinskaya khimiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18097/PBMC20226806444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
[The prediction of SARS-CoV-2 main protease inhibition with filtering by position of ligand].
The paper analyzes a set of equations that adequately predict the IC50 value for SARS-CoV-2 main protease inhibitors. The training set was obtained using filtering by criteria independent of prediction of target value. It included 76 compounds, and the test set included nine compounds. We used the values of energy contributions obtained in the calculation of the change of the free energy of complex by MMGBSA method and a number of characteristics of the physical and chemical properties of the inhibitors as independent variables. It is sufficient to use only seven independent variables without loss of prediction quality (Q² = 0.79; R²prediction = 0.89). The maximum error in this case does not exceed 0.92 lg(IC50) units with a full range of observed values from 1.26 to 4.95.
Biomeditsinskaya khimiyaBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
1.30
自引率
0.00%
发文量
49
期刊介绍:
The aim of the Russian-language journal "Biomeditsinskaya Khimiya" (Biomedical Chemistry) is to introduce the latest results obtained by scientists from Russia and other Republics of the Former Soviet Union. The Journal will cover all major areas of Biomedical chemistry, including neurochemistry, clinical chemistry, molecular biology of pathological processes, gene therapy, development of new drugs and their biochemical pharmacology, introduction and advertisement of new (biochemical) methods into experimental and clinical medicine etc. The Journal also publish review articles. All issues of journal usually contain invited reviews. Papers written in Russian contain abstract (in English).