{"title":"遗传算法在蛋白质结构表示中的应用","authors":"P. Chaudhari, P. Thute","doi":"10.1109/ICETET.2008.212","DOIUrl":null,"url":null,"abstract":"One of the most promising and rapidly growing areas of GA application is data analysis and prediction in molecular biology. GAs have been used for predicting protein structure. Recently there has been considerable effort towards developing methods such as GAs and neural networks for automatically predicting protein structures. This GA prediction project illustrates one way in which GAs can be used on this task.","PeriodicalId":269929,"journal":{"name":"2008 First International Conference on Emerging Trends in Engineering and Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application of Genetic Algorithms in Structural Representation of Proteins\",\"authors\":\"P. Chaudhari, P. Thute\",\"doi\":\"10.1109/ICETET.2008.212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most promising and rapidly growing areas of GA application is data analysis and prediction in molecular biology. GAs have been used for predicting protein structure. Recently there has been considerable effort towards developing methods such as GAs and neural networks for automatically predicting protein structures. This GA prediction project illustrates one way in which GAs can be used on this task.\",\"PeriodicalId\":269929,\"journal\":{\"name\":\"2008 First International Conference on Emerging Trends in Engineering and Technology\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 First International Conference on Emerging Trends in Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETET.2008.212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 First International Conference on Emerging Trends in Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETET.2008.212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Genetic Algorithms in Structural Representation of Proteins
One of the most promising and rapidly growing areas of GA application is data analysis and prediction in molecular biology. GAs have been used for predicting protein structure. Recently there has been considerable effort towards developing methods such as GAs and neural networks for automatically predicting protein structures. This GA prediction project illustrates one way in which GAs can be used on this task.