4.5 Article

Glycosaminoglycan interaction networks and databases

Journal

CURRENT OPINION IN STRUCTURAL BIOLOGY
Volume 74, Issue -, Pages -

Publisher

CURRENT BIOLOGY LTD
DOI: 10.1016/j.sbi.2022.102355

Keywords

Glycosaminoglycans; Interactions; Networks; Structure; Databases

Funding

  1. Fondation pour la Recherche Medicale, France [DBI20141231336]
  2. Institut Francais de Bioinformatique [ANR-11-INBS-0013]
  3. Groupement de Recherche (GDR) GagoSciences (CNRS) [GDR 3739]
  4. GlycoAlps (Universite Grenoble Alpes)

Ask authors/readers for more resources

Glycosaminoglycans (GAGs) are complex polysaccharides with diverse biological functions. Studying the interactions between GAGs and proteins can provide insights into their molecular mechanisms and offer new strategies for therapeutic design.
Glycosaminoglycans are complex polysaccharides exhibiting a large structural and conformational diversity. These key biological players organize the extracellular matrix, contribute to cell-matrix interactions, and regulate cell signaling. Natural and synthetic libraries of glycosaminoglycans have been spotted on microarrays to find glycosaminoglycan partners and determine the size and the chemical groups promoting protein binding. Advances in glycosaminoglycan sequencing allow the characterization of glycosaminoglycan sequences interacting with proteins, and glycosaminoglycan-mediated pull-down proteomics can identify glycosaminoglycan-binding proteins at a proteome scale in various biological samples. The analysis of the glycosaminoglycan interaction networks generated using these data gives insights into the molecular and cellular mechanisms underlying glycosaminoglycan functions. These interactomes can also be used to design inhibitors targeting specific GAG interactions for therapeutic purpose.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available