2013
DOI: 10.1007/s13361-013-0652-7
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CYCLONE—A Utility for De Novo Sequencing of Microbial Cyclic Peptides

Abstract: We have developed a de novo sequencing software tool (CYCLONE) and applied it for determination of cyclic peptides. The program uses a non-redundant database of 312 nonribosomal building blocks identified to date in bacteria and fungi (more than 230 additional residues in the database list were isobaric). The software was used to fully characterize the tandem mass spectrum of several cyclic peptides and provide sequence tags. The general strategy of the script was based on fragment ion pre-characterization to … Show more

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Cited by 18 publications
(21 citation statements)
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“…The sequence has been reported among peptide sequence candidates at the positions 1-2 of a result list of NRP sequence candidates. Beauverolide can also be easily identified using D 33 by Cyclone if the number of (four) monomers in the peptide was predicted [23].…”
Section: Resultsmentioning
confidence: 99%
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“…The sequence has been reported among peptide sequence candidates at the positions 1-2 of a result list of NRP sequence candidates. Beauverolide can also be easily identified using D 33 by Cyclone if the number of (four) monomers in the peptide was predicted [23].…”
Section: Resultsmentioning
confidence: 99%
“…All monomers in the database were annotated by reference numbers publicly available through the chemical databases ChemSpider, PubChem, Protein Data Bank (PDB), and Norine. Three databases of building blocks were used for software evaluation-a database D 19 of proteinogenic amino acids (19 building blocks where leucine and isoleucine were not distinguished), a database D 33 (all building blocks involved in 11 testing peptides), or D 287 (the complete nonredundant nonribosomal database) [23]. Data processing was performed on a desktop personal computer with the processor Intel Core i7-3770 (3.4GHz), 8 GB RAM, and OS Windows 7 (64-bit).…”
Section: Methodsmentioning
confidence: 99%
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“…Two of the most recent algorithms are CYCLONE and CycloBranch, which were developed to characterize cyclic peptides via a de novo strategy [48,49]. An in-house algorithm was developed in C# to assign fragment ions of cyclic peptides based on interpretation of 193 nm UVPD mass spectra.…”
Section: Development Of a Custom Algorithm For Assignment Of Fragmentmentioning
confidence: 99%