Key Publications
Jointly with leading PNP researchers Drs. Dorrestein, Fenical, Gerwick, and Moore, CCMS developed the first software for cyclic peptide sequencing, identification, and dereplication that was successfully used in nearly two dozens of collaborative projects. However, despite this initial success, our software has not capitalized yet on recent progress in genome sequencing. In particular, while PNP-producing bacteria are often difficult to cultivate, computational advances in single cell genomics in the last year removed this requirement by sequencing genomes from single cells. Thus, future MS-based PNP sequencing projects should start from genome sequencing (if the genome of a PNP-producing organism is not available), followed by prediction of all PNP byosynthetic gene clusters and all putative PNPs produced by these clusters. In the case of NRPs, such predictions should be made using the non-ribosomal genetic code often resulting in ambiguities and multiple peptides.
CCMS is integrating MS and genomics for matching putative PNPs (predicted using analysis of biosynthetic gene clusters coding for PNPs) against MS data. In collaboration with Pieter Dorrestein and Bradley Moore, CCMS recently identified informatipeptine, the first PNP discovered in a fully automated fashion. We anticipate that this approach will result in dozens of PNPs identified from a bacterial community in a single MS experiment. Efficient sequencing of PNPs, if successful, will represent a disruptive computational technology for antibiotics discovery and human microbiome analysis.