{"title":"神经网络在酶促合成优化中的应用","authors":"Ole Kirk, Martin Barfoed, Fredrik Björkling","doi":"10.1016/0898-5529(90)90054-C","DOIUrl":null,"url":null,"abstract":"<div><p>A neural network has been trained to predict the outcome of a synthesis controlled by several parameters. Furthermore, this ability was used in the search for optimized reaction conditions. Finally, an excellent correlation between predicted yields and experimental results was obtained.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":"3 3","pages":"Pages 239-243"},"PeriodicalIF":0.0000,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90054-C","citationCount":"4","resultStr":"{\"title\":\"Application of a neural network in the optimization of an enzymatic synthesis\",\"authors\":\"Ole Kirk, Martin Barfoed, Fredrik Björkling\",\"doi\":\"10.1016/0898-5529(90)90054-C\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A neural network has been trained to predict the outcome of a synthesis controlled by several parameters. Furthermore, this ability was used in the search for optimized reaction conditions. Finally, an excellent correlation between predicted yields and experimental results was obtained.</p></div>\",\"PeriodicalId\":101214,\"journal\":{\"name\":\"Tetrahedron Computer Methodology\",\"volume\":\"3 3\",\"pages\":\"Pages 239-243\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0898-5529(90)90054-C\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tetrahedron Computer Methodology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/089855299090054C\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tetrahedron Computer Methodology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/089855299090054C","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of a neural network in the optimization of an enzymatic synthesis
A neural network has been trained to predict the outcome of a synthesis controlled by several parameters. Furthermore, this ability was used in the search for optimized reaction conditions. Finally, an excellent correlation between predicted yields and experimental results was obtained.
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