Journal
GLYCOBIOLOGY
Volume 29, Issue 1, Pages 36-44Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/glycob/cwy084
Keywords
3D models; database; formats; glycosaminoglycans; interactions
Categories
Funding
- Fondation pour la Recherche Medicale [DBI20141231336]
- Institut Francais de Bioinformatique [Agence Nationale de la Recherche (ANR)] [11-INBS-0013]
- Groupement de Recherche (GDR) GagoSciences [CNRS] [GDR 3739]
- Cross Disciplinary Program Glyco@Alps [ANR-15IDEX-02]
Ask authors/readers for more resources
Mammalian glycosaminoglycans are linear complex polysaccharides comprising heparan sulfate, heparin, dermatan sulfate, chondroitin sulfate, keratan sulfate and hyaluronic acid. They bind to numerous proteins and these interactions mediate their biological activities. GAG-protein interaction data reported in the literature are curated mostly in MatrixDB database (http://matrixdb.univ-lyon1.fr/). However, a standard nomenclature and a machine-readable format of GAGs together with bioinformatics tools for mining these interaction data are lacking. We report here the building of an automated pipeline to (i) standardize the format of GAG sequences interacting with proteins manually curated from the literature, (ii) translate them into the machine-readable GlycoCT format and into SNFG (Symbol Nomenclature For Glycan) images and (iii) convert their sequences into a format processed by a builder generating three-dimensional structures of polysaccharides based on a repertoire of conformations experimentally validated by data extracted from crystallized GAG-protein complexes. We have developed for this purpose a converter (the CT23D converter) to automatically translate the GlycoCT code of a GAG sequence into the input file required to construct a three-dimensional model.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available