{"title":"从蛋白质一级结构预测半胱氨酸二硫键态的混合递归神经网络/动态概率图形模型预测器","authors":"M. Bongini, Vincenzo Laveglia, E. Trentin","doi":"10.1007/978-3-319-46182-3_22","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins\",\"authors\":\"M. Bongini, Vincenzo Laveglia, E. Trentin\",\"doi\":\"10.1007/978-3-319-46182-3_22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":368838,\"journal\":{\"name\":\"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-319-46182-3_22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-319-46182-3_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins