{"title":"利用氨基酸序列和结构字母表，基于机器学习预测蛋白质结构","authors":"Jad Abbass, Charles Parisi","doi":"10.1080/07391102.2024.2328736","DOIUrl":null,"url":null,"abstract":"In addition to the growth of protein structures generated through wet laboratory experiments and deposited in the PDB repository, AlphaFold predictions have significantly contributed to the creatio...","PeriodicalId":15085,"journal":{"name":"Journal of Biomolecular Structure and Dynamics","volume":"2014 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning-based prediction of proteins’ architecture using sequences of amino acids and structural alphabets\",\"authors\":\"Jad Abbass, Charles Parisi\",\"doi\":\"10.1080/07391102.2024.2328736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In addition to the growth of protein structures generated through wet laboratory experiments and deposited in the PDB repository, AlphaFold predictions have significantly contributed to the creatio...\",\"PeriodicalId\":15085,\"journal\":{\"name\":\"Journal of Biomolecular Structure and Dynamics\",\"volume\":\"2014 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biomolecular Structure and Dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07391102.2024.2328736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomolecular Structure and Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07391102.2024.2328736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine learning-based prediction of proteins’ architecture using sequences of amino acids and structural alphabets
In addition to the growth of protein structures generated through wet laboratory experiments and deposited in the PDB repository, AlphaFold predictions have significantly contributed to the creatio...
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