ReviewCurrent opinion in structural biology2018
So you think computational approaches to understanding glycosaminoglycan-protein interactions are too dry and too rigid? Think again!
Review in Current opinion in structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed.
- Glycosaminoglycans in tissue regeneration: Insights into glycobiology and their biomedical application.Bioactive materials · 2026Review
- Structural Basis of Chemokine CXCL8 Monomer and Dimer Binding to Chondroitin Sulfate: Insights into Specificity and Plasticity.Biomolecules · 2026Article
- Unraveling the Potential of Small Molecule Heparin Glycomimetics in Neuroregenerative Therapeutics.Journal of the American Chemical Society · 2025Article
- Identification of an Unnatural Sulfated Monosaccharide as a High-Affinity Ligand for Pan-Variant Targeting of SARS-CoV-2 Spike Glycoprotein.ACS chemical biology · 2025Article
- A Robust Proteomics-Based Method for Identifying Preferred Protein Targets of Synthetic Glycosaminoglycan Mimetics.bioRxiv : the preprint server for biology · 2025Article
- Elucidating the Mechanism of Recognition and Binding of Heparin to Amyloid Fibrils of Serum Amyloid A.Biochemistry · 2025Article
- Design and Synthesis of Small Molecule Probes of MDA-9/Syntenin.Biomolecules · 2024Article
- Alteration of Neuropilin-1 and Heparan Sulfate Interaction Impairs Murine B16 Tumor Growth.ACS chemical biology · 2024Article
- Glycosaminoglycan microarrays for studying glycosaminoglycan-protein systems.Carbohydrate polymers · 2024Review
- Computational toolbox for the analysis of protein-glycan interactions.Beilstein journal of organic chemistry · 2024Review
- Assessing Genetic Algorithm-Based Docking Protocols for Prediction of Heparin Oligosaccharide Binding Geometries onto Proteins.Biomolecules · 2023Article
- Merging cultures and disciplines to create a drug discovery ecosystem at Virginia commonwealth university: Medicinal chemistry, structural biology, molecular and behavioral pharmacology and computational chemistry.SLAS discovery : advancing life sciences R & D · 2023Review
- Article
- Designing Smaller, Synthetic, Functional Mimetics of Sulfated Glycosaminoglycans as Allosteric Modulators of Coagulation Factors.Journal of medicinal chemistry · 2023Review
- Glycosaminoglycans: What Remains To Be Deciphered?JACS Au · 2023Review
- Molecular Dynamics-Based Comparative Analysis of Chondroitin and Dermatan Sulfates.Biomolecules · 2023Article
- Designing Synthetic, Sulfated Glycosaminoglycan Mimetics That Are Orally Bioavailable and ExhibitingJournal of medicinal chemistry · 2023Article
- Studying specificity in protein-glycosaminoglycan recognition with umbrella sampling.Beilstein journal of organic chemistry · 2023Article
- The diverse role of heparan sulfate and other GAGs in SARS-CoV-2 infections and therapeutics.Carbohydrate polymers · 2023Review
- Antiviral Disaccharide Lead Compounds against SARS-CoV-2 through Computer-Aided High-Throughput Screen.Chembiochem : a European journal of chemical biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Glycosaminoglycans (GAGs) play key roles in virtually all biologic responses through their interaction with proteins. A major challenge in understanding these roles is their massive structural complexity. Computational approaches are extremely useful in navigating this bottleneck and, in some cases, the only avenue to gain comprehensive insight. We discuss the state-of-the-art on computational approaches and present a flowchart to help answer most basic, and some advanced, questions on GAG-protein interactions. For example, firstly, does my protein bind to GAGs?; secondly, where does the GAG bind?; thirdly, does my protein preferentially recognize a particular GAG type?; fourthly, what is the most optimal GAG chain length?; fifthly, what is the structure of the most favored GAG sequence?; and finally, is my GAG-protein system 'specific', 'non-specific', or a combination of both? Recent advances show the field is now poised to enable a non-computational researcher perform advanced experiments through the availability of various tools and online servers.
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What OpenQuestion holds
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.