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DrawGlycan-SNFG & gpAnnotate: Rendering glycans and annotating glycopeptide mass spectra.
Cheng, Kai; Pawlowski, Gabrielle; Yu, Xinheng; Zhou, Yusen; Neelamegham, Sriram.
Afiliação
  • Cheng K; Department of Chemical & Biological Engineering, and Clinical and Translational Research Center, University at Buffalo, The State University of New York, Buffalo, NY, USA.
  • Pawlowski G; Department of Chemical & Biological Engineering, and Clinical and Translational Research Center, University at Buffalo, The State University of New York, Buffalo, NY, USA.
  • Yu X; Department of Chemical & Biological Engineering, and Clinical and Translational Research Center, University at Buffalo, The State University of New York, Buffalo, NY, USA.
  • Zhou Y; Department of Chemical & Biological Engineering, and Clinical and Translational Research Center, University at Buffalo, The State University of New York, Buffalo, NY, USA.
  • Neelamegham S; Department of Chemical & Biological Engineering, and Clinical and Translational Research Center, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Bioinformatics ; 2019 Nov 09.
Article em En | MEDLINE | ID: mdl-31710658
ABSTRACT

SUMMARY:

This manuscript describes an open-source program, DrawGlycan-SNFG (version 2), that accepts IUPAC (International Union of Pure & Applied Chemist)-condensed inputs to render Symbol Nomenclature For Glycans (SNFG) drawings. A wide range of local and global options enable display of various glycan/peptide modifications including bond breakages, adducts, repeat structures, ambiguous identifications, etc. These facilities make DrawGlycan-SNFG ideal for integration into various glycoinformatics software, including glycomics and glycoproteomics mass spectrometry applications. As a demonstration of such usage, we incorporated DrawGlycan-SNFG into gpAnnotate, a standalone application to score and annotate individual MS/MS glycopeptide spectrum in different fragmentation modes. AVAILABILITY AND IMPLEMENTATION DrawGlycan-SNFG and gpAnnotate are platform independent. While originally coded using MATLAB, compiled packages are also provided to enable DrawGlycan-SNFG implementation in Python and Java. All programs are available from https//virtualglycome.org/drawglycan; https//virtualglycome.org/gpAnnotate. SUPPLEMENTARY INFORMATION Supplementary Material are available at Bioinformatics online.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos