%0 Journal Article
%T Prediction of peptide retention time in reversed-phase liquid chromatography and its application in protein identification<br>肽段反相色谱保留时间预测算法及其在蛋白质鉴定中的应用
%A LIU Chao
%A WANG Haipeng
%A FU Yan
%A YUAN Zuofei
%A CHI Hao
%A WANG Leheng
%A SUN Ruixiang
%A HE Simin
%A <br>刘超
%A 王海鹏
%A 付岩
%A 袁作飞
%A 迟浩
%A 王乐珩
%A 孙瑞祥
%A 贺思敏
%J 色谱
%D 2010
%I 
%X Liquid chromatography-mass spectrometry (LC-MS) is the mainstream of high-throughput protein identification technology. Peptide retention time in reversed-phase liquid chromatography (RPLC) is mainly determined by the physicochemical properties of the peptide and the LC conditions (stationary phase and mobile phase). Retention time can be predicted by analyzing these properties and quantifying their effects on peptide chromatographic behavior. Prediction of peptide retention time in LC can be used to improve identification of peptides and post translational modifications (PTM). There are mainly two methods to predict retention time: i.e. retention coefficients and machine learning. The coefficient of determination between observed and predicted retention times can reach 0.93. With the development of LC-MS technology, retention time prediction will become an important tool to facilitate protein identification.
%K reversed-phase liquid chromatography-mass spectrometry (RPLC-MS)
%K retention coefficient
%K machine learning
%K retention time
%K prediction
%K protein
%K peptide
%K identification<br>反相液相色谱-质谱联用
%K 保留系数
%K 机器学习
%K 保留时间
%K 预测
%K 蛋白质
%K 肽
%K 鉴定
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=6579068328FE643F&jid=4D81E042D77AFEC6881D14759692069C&aid=D33A8400D3A7A41CFAD5B78BD6CCCD0A&yid=140ECF96957D60B2&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=2A2AA8B7E19F0DF7&eid=D45762219109E903&journal_id=1000-8713&journal_name=色谱&referenced_num=0&reference_num=44