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Accurate prediction of peptide retention time plays an increasingly important role in liquid chromatography–tandem mass spectrometry(LC–MS/MS)-based proteomics.Owning to the reproducibility of liquid chromatography process,it is considered that retention time prediction provides promising information for both identification and quantification experiment design.In this work,we present a developed Locus-specific Retention Predictor(LsRP),based on amino acid composition information and Support Vector Regression(SVR)method.