{"title":"用于抗糖化活性预测的量子化学人工神经网络qsar建模","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":"{\"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}","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}
QUANTUM CHEMICAL ARTIFICIAL NEURAL NETWORK QSAR-MODELLING FOR ANTIGLYCATION ACTIVITY PREDICTION
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.
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