{"title":"免疫算法在分子对接中的应用","authors":"Zhenyu Liu, Ming-hua Chen, L. Kang","doi":"10.1109/SPAC.2014.6982670","DOIUrl":null,"url":null,"abstract":"As a kind of intelligent algorithm, the immune algorithm is improved from genetic algorithm by adopting the density adjusting mechanism to avoid from prematurity, and by good gene resaving mechanism to speed up convergence. To test the effectiveness of the algorithm, numerical example is first adopted; and then, the algorithm is applied into molecular docking, and gain better result than DOCK6_1.","PeriodicalId":318775,"journal":{"name":"International Conference on Security, Pattern Analysis, and Cybernetics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of immune algorithm in molecular docking\",\"authors\":\"Zhenyu Liu, Ming-hua Chen, L. Kang\",\"doi\":\"10.1109/SPAC.2014.6982670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a kind of intelligent algorithm, the immune algorithm is improved from genetic algorithm by adopting the density adjusting mechanism to avoid from prematurity, and by good gene resaving mechanism to speed up convergence. To test the effectiveness of the algorithm, numerical example is first adopted; and then, the algorithm is applied into molecular docking, and gain better result than DOCK6_1.\",\"PeriodicalId\":318775,\"journal\":{\"name\":\"International Conference on Security, Pattern Analysis, and Cybernetics\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Security, Pattern Analysis, and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAC.2014.6982670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Security, Pattern Analysis, and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAC.2014.6982670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of immune algorithm in molecular docking
As a kind of intelligent algorithm, the immune algorithm is improved from genetic algorithm by adopting the density adjusting mechanism to avoid from prematurity, and by good gene resaving mechanism to speed up convergence. To test the effectiveness of the algorithm, numerical example is first adopted; and then, the algorithm is applied into molecular docking, and gain better result than DOCK6_1.
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