{"title":"生物化学反应的神经网络建模","authors":"B. Solaiman, D. Picart","doi":"10.1109/ICNN.1994.374773","DOIUrl":null,"url":null,"abstract":"In this study, the use of neural networks (NN) in modelling biochemical reactions is shown. The metabolic chain describing the synthesis of puric bases is simulated. Results obtained are identical to those already known. The use of neural networks permits the development of more accurate models of enzymatic reactions. Thus, simulation tests concerning the use of new drugs can be performed rapidly and with good accuracy.<<ETX>>","PeriodicalId":209128,"journal":{"name":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Neural networks modelling of biochemical reactions\",\"authors\":\"B. Solaiman, D. Picart\",\"doi\":\"10.1109/ICNN.1994.374773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, the use of neural networks (NN) in modelling biochemical reactions is shown. The metabolic chain describing the synthesis of puric bases is simulated. Results obtained are identical to those already known. The use of neural networks permits the development of more accurate models of enzymatic reactions. Thus, simulation tests concerning the use of new drugs can be performed rapidly and with good accuracy.<<ETX>>\",\"PeriodicalId\":209128,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNN.1994.374773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNN.1994.374773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural networks modelling of biochemical reactions
In this study, the use of neural networks (NN) in modelling biochemical reactions is shown. The metabolic chain describing the synthesis of puric bases is simulated. Results obtained are identical to those already known. The use of neural networks permits the development of more accurate models of enzymatic reactions. Thus, simulation tests concerning the use of new drugs can be performed rapidly and with good accuracy.<>