PREGO Peptide Response Predictor

Using data independent acquisition to model high-responding peptides for targeted proteomics experiments.
Brian C. Searle, Jarrett D. Egertson, James G. Bollinger, Andrew B. Stergachis and Michael J. MacCoss
Published by Molecular and Cellular Proteomics on June 22, 2015, doi: 10.1074/mcp.M115.051300

PREGO is a software tool that predicts high responding peptides for SRM experiments. PREGO predicts peptide responses with an artificial neural network trained using 11 minimally redundant, maximally relevant properties. Crucial to its success, PREGO is trained using fragment ion intensities of equimolar synthetic peptides extracted from data independent acquisition (DIA) experiments.

To use the Prego web site, install the Prego External Tool in Skyline.