{"title":"(2)按需测定蛋白质结构","authors":"Ming Li","doi":"10.1109/BIBM.2012.6392662","DOIUrl":null,"url":null,"abstract":"Protein structure prediction by computers at best may serve as a screening method, and the current high-throughput protein structure determination methods are costly and will never exhaust all proteins. A complementary approach is \"protein structure determination on demand\", say in a week. We will discuss two approaches that would realize this goal: automatic protein structure determination using NMR data and mass spectrometry data.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"(2) Protein structure determination on demand\",\"authors\":\"Ming Li\",\"doi\":\"10.1109/BIBM.2012.6392662\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Protein structure prediction by computers at best may serve as a screening method, and the current high-throughput protein structure determination methods are costly and will never exhaust all proteins. A complementary approach is \\\"protein structure determination on demand\\\", say in a week. We will discuss two approaches that would realize this goal: automatic protein structure determination using NMR data and mass spectrometry data.\",\"PeriodicalId\":6392,\"journal\":{\"name\":\"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBM.2012.6392662\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2012.6392662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Protein structure prediction by computers at best may serve as a screening method, and the current high-throughput protein structure determination methods are costly and will never exhaust all proteins. A complementary approach is "protein structure determination on demand", say in a week. We will discuss two approaches that would realize this goal: automatic protein structure determination using NMR data and mass spectrometry data.
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