Dereplication, sequencing and identification of peptidic natural products: from genome mining to peptidogenomics to spectral networks.
Covering: 2000 to 2015. While recent breakthroughs in the discovery of peptide antibiotics and other Peptidic Natural Products (PNPs) raise a challenge for developing new algorithms for their analyses, the computational technologies for high-throughput PNP discovery are still lacking. We discuss the computational bottlenecks in analyzing PNPs and review recent advances in genome mining, peptidogenomics, and spectral networks that are now enabling the discovery of new PNPs via mass spectrometry. We further describe the connections between these advances and the new generation of software tools for PNP dereplication, de novo sequencing, and identification.
Department of Computer Science and Engineering, University of California, San Diego, USA. ppevzner@ucsd.edu.
Hosein
H
Mohimani
Department of Computer Science and Engineering, University of California, San Diego, USA. ppevzner@ucsd.edu.
Pavel A
PA
Pevzner
D000595:Amino Acid Sequence; D000900:Anti-Bacterial Agents / Q000737:chemistry / Q000378:metabolism; D001688:Biological Products / Q000737:chemistry / Q000378:metabolism; D023281:Genomics / Q000379:methods; D008969:Molecular Sequence Data; D015394:Molecular Structure; D010455:Peptides / Q000737:chemistry / Q000235:genetics
D000900:Anti-Bacterial Agents; D001688:Biological Products; D010455:Peptides