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. 2014 May 6;9(7):1545–1551. doi: 10.1021/cb500199h

Figure 1.

Figure 1

Workflow implemented in the RiPPquest algorithm for automated peptidogenomics of RiPPs. (a) Prediction of lanthipeptide gene clusters in microbial genome sequence. (b) Generation of 10 kb windows centered at LANC-domain of gene clusters. (c) Prediction of ORFs in each gene cluster. (d) Selection of all candidate precursor peptides ORFs <100 aa. (e) Generation of candidate core peptides via C-terminal half of each selected ORF. (f) Generation of all biosynthetic and gas phase products of each core peptide, exemplified by peptide TFCRS. (g) Generation of MS/MS peptide database of predicted lanthipeptide products. (h) MS/MS analysis of microbial extract. (i) Matching of MS/MS data with MS/MS lanthipeptide spectral database with computed p-values. (j) Molecular network analysis of MS/MS data to identify peptide homologues and to confirm PSMs.