Prediction of high-performance liquid chromatography retention of peptides with the use of quantitative structure-retention relationships
Author:
Publisher
Wiley
Subject
Molecular Biology,Biochemistry
Reference19 articles.
1. Progress with Proteome Projects: Why all Proteins Expressed by a Genome Should be Identified and How To Do It
2. Artificial Neural Network Analysis for Evaluation of Peptide MS/MS Spectra in Proteomics
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4. Protein identification by liquid chromatography–mass spectrometry using retention time prediction
5. Prediction of peptide retention times in high-pressure liquid chromatography on the basis of amino acid composition
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