CycloBranch: De Novo Sequencing of Nonribosomal Peptides from Accurate Product Ion Mass Spectra

peer-reviewed · Journal of the American Society for Mass Spectrometry · 2015

peer-reviewed · Journal of the American Society for Mass Spectrometry · 2015. Jiří Novák et al. Nonribosomal peptides have a wide range of biological and medical applications. Their identification by…
Date 2015-10-01
Type peer-reviewed
Venue Journal of the American Society for Mass Spectrometry
Publisher American Chemical Society (ACS)
Contribution algorithm
DOI 10.1007/s13361-015-1211-1
Citations (OpenAlex) 45
Venue 2-year citedness 2.84

Abstract

Nonribosomal peptides have a wide range of biological and medical applications. Their identification by tandem mass spectrometry remains a challenging task. A new open-source de novo peptide identification engine CycloBranch was developed and successfully applied in identification or detailed characterization of 11 linear, cyclic, branched, and branch-cyclic peptides. CycloBranch is based on annotated building block databases the size of which is defined by the user according to ribosomal or nonribosomal peptide origin. The current number of involved nonisobaric and isobaric building blocks is 287 and 521, respectively. Contrary to all other peptide sequencing tools utilizing either peptide libraries or peptide fragment libraries, CycloBranch represents a true de novo sequencing engine developed for accurate mass spectrometric data. It is a stand-alone and cross-platform application with a graphical and user-friendly interface; it supports mzML, mzXML, mgf, txt, and baf file formats and can be run in parallel on multiple threads. It can be downloaded for free from http://ms.biomed.cas.cz/cyclobranch/ , where the User’s manual and video tutorials can be found.

Authors

  1. Jiří Novák
  2. Karel Lemr
  3. Kevin A. Schug
  4. Vladimír Havlíček

Methods and tools

  • CycloBranch: Open-source de novo identification engine for nonribosomal peptides, reading accurate product ion masses to handle linear, cyclic and branched topologies that ordinary peptide tools cannot express.

Cites (9)

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