ArticleBiomolecules2020
GAG-DB, the New Interface of the Three-Dimensional Landscape of Glycosaminoglycans.
Article in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- Glycosaminoglycans in tissue regeneration: Insights into glycobiology and their biomedical application.Bioactive materials · 2026Review
- A guide to building the matrisome interactome: from computational predictions to experimental validation.The FEBS journal · 2026Review
- Machine learning models for prediction of (Pro)cathepsin-glycosaminoglycan binding free energies based on molecular structure.Computational and structural biotechnology journal · 2026Article
- Benchmark of Available Explicit Solvent Models in CHARMM36m to Characterize Glycosaminoglycans.The journal of physical chemistry. B · 2025Article
- Decrypting Glycosaminoglycan "sulfation code" with Computational Approaches.Handbook of experimental pharmacology · 2025Review
- Structural Insights into Endostatin-Heparan Sulfate Interactions Using Modeling Approaches.Molecules (Basel, Switzerland) · 2024Article
- Glycosaminoglycans: What Remains To Be Deciphered?JACS Au · 2023Review
- Review
- HS, an Ancient Molecular Recognition and Information Storage Glycosaminoglycan, Equips HS-Proteoglycans with Diverse Matrix and Cell-Interactive Properties Operative in Tissue Development and Tissue Function in Health and Disease.International journal of molecular sciences · 2023Review
- Biodegradable and Non-Biodegradable Biomaterials and Their Effect on Cell Differentiation.International journal of molecular sciences · 2022Review
- Interaction-Induced Structural Transformations in Polysaccharide and Protein-Polysaccharide Gels as Functional Basis for Novel Soft-Matter: A Case of Carrageenans.Gels (Basel, Switzerland) · 2022Review
- Current status of PTMs structural databases: applications, limitations and prospects.Amino acids · 2022Review
- Preface for the Special Issue on the Exploration of the Multifaceted Roles of Glycosaminoglycans: GAGs.Biomolecules · 2021Article
- Sulfation and Calcium Favor Compact Conformations of Chondroitin in Aqueous Solutions.ACS omega · 2021Article
- A Bittersweet Computational Journey among Glycosaminoglycans.Biomolecules · 2021Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glycosaminoglycans (GAGs) are complex linear polysaccharides. GAG-DB is a curated database that classifies the three-dimensional features of the six mammalian GAGs (chondroitin sulfate, dermatan sulfate, heparin, heparan sulfate, hyaluronan, and keratan sulfate) and their oligosaccharides complexed with proteins. The entries are structures of GAG and GAG-protein complexes determined by X-ray single-crystal diffraction methods, X-ray fiber diffractometry, solution NMR spectroscopy, and scattering data often associated with molecular modeling. We designed the database architecture and the navigation tools to query the database with the Protein Data Bank (PDB), UniProtKB, and GlyTouCan (universal glycan repository) identifiers. Special attention was devoted to the description of the bound glycan ligands using simple graphical representation and numerical format for cross-referencing to other databases in glycoscience and functional data. GAG-DB provides detailed information on GAGs, their bound protein ligands, and features their interactions using several open access applications. Binding covers interactions between monosaccharides and protein monosaccharide units and the evaluation of quaternary structure. GAG-DB is freely available.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.