ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity.

ABSTRACT: ProLuCID, a new algorithm for peptide identification using tandem mass spectrometry and protein sequence databases has been developed. This algorithm uses a three tier scoring scheme. First, a binomial probability is used as a preliminary scoring scheme to select candidate peptides. The binomial probability scores generated by ProLuCID minimize molecular weight bias and are independent of database size. A modified cross-correlation score is calculated for each candidate peptide identified by the binomial probability. This cross-correlation scoring function models the isotopic distributions of fragment ions of candidate peptides which ultimately results in higher sensitivity and specificity than that obtained with the SEQUEST XCorr. Finally, ProLuCID uses the distribution of XCorr values fo

SUBMITTER: Xu T 

PROVIDER: S-EPMC4630125 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature