{"title":"QUANTUM CHEMICAL ARTIFICIAL NEURAL NETWORK QSAR-MODELLING FOR ANTIGLYCATION ACTIVITY PREDICTION","authors":"P.M. Vasilev, U.M. Ibragimova, A. Rzaeva","doi":"10.37747/2312-640x-2021-19-201-202","DOIUrl":null,"url":null,"abstract":"As a result of work to create the optimal quantum-chemical neural network model for antiglycation activity prediction, a set of different neural network models was received.","PeriodicalId":13077,"journal":{"name":"http://eng.biomos.ru/conference/articles.htm","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"http://eng.biomos.ru/conference/articles.htm","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37747/2312-640x-2021-19-201-202","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
As a result of work to create the optimal quantum-chemical neural network model for antiglycation activity prediction, a set of different neural network models was received.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
