In silico analysis of accurate proteomics, complemented by selective isolation of peptides

► The combination of several peptide features could be used as peptide identification criteria. ► The percentage of unique peptides and proteome coverage increases with selective isolation methods. ► The number of false positive identifications decreases with selective isolation methods.