UniLectin3D, a database of carbohydrate binding proteins with curated information on 3D structures and interacting ligands

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • François Bonnardel - , Institut des Géosciences de l'Environnement (IGE) (Author)
  • Julien Mariethoz - , Swiss Institute of Bioinformatics (Author)
  • Sebastian Salentin - , Biotechnology Center (Author)
  • Xavier Robin - , University of Basel (Author)
  • Michael Schroeder - , Biotechnology Center (Author)
  • Serge Perez - , Institut des Géosciences de l'Environnement (IGE) (Author)
  • Frédérique Lisacek - , Swiss Institute of Bioinformatics (Author)
  • Anne Imberty - , Institut des Géosciences de l'Environnement (IGE) (Author)

Abstract

Lectins, and related receptors such as adhesins and toxins, are glycan-binding proteins from all origins that decipher the glycocode, i.e. the structural information encoded in the conformation of complex carbohydrates present on the surface of all cells. Lectins are still poorly classified and annotated, but since their functions are based on ligand recognition, their 3D-structures provide a solid foundation for characterization. UniLectin3D is a curated database that classifies lectins on origin and fold, with cross-links to literature, other databases in glycosciences and functional data such as known specificity. The database provides detailed information on lectins, their bound glycan ligands, and features their interactions using the Protein-Ligand Interaction Profiler (PLIP) server. Special care was devoted to the description of the bound glycan ligands with the use of simple graphical representation and numerical format for cross-linking to other databases in glycoscience. We conceived the design of the database architecture and the navigation tools to account for all organisms, as well as to search for oligosaccharide epitopes complexed within specified binding sites. UniLectin3D is accessible at https://www.unilectin.eu/unilectin3D.

Details

Original languageEnglish
Pages (from-to)D1236-D1244
JournalNucleic acids research
Volume47
Issue numberD1
Publication statusPublished - 8 Jan 2019
Peer-reviewedYes

External IDs

PubMedCentral PMC6323968
ORCID /0000-0003-2848-6949/work/141543368
Scopus 85059798489

Keywords

Keywords

  • Binding Sites, Computational Biology/methods, Databases, Protein, Humans, Internet, Lectins/chemistry, Ligands, Models, Molecular, Polysaccharides/chemistry, Protein Binding, Protein Conformation, Receptors, Cell Surface/chemistry

Library keywords