ReviewChemical reviews2018
Predicting the Structures of Glycans, Glycoproteins, and Their Complexes.
Review in Chemical reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 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
92 citing papers in PubMed, 209 citations in OpenAlex.
- Identification and quantification of intracellular N-acetylglucosamine modified glycoRNAs.Nature communications · 2026Article
- Integrative Approach to Develop and Characterize Antibodies against the Cancer-Associated Antigen Sialyl Lewis A (CA 19-9).JACS Au · 2026Article
- From a single C-mannose to multiple C-mannosyltransferases.The Journal of biological chemistry · 2026Review
- Article
- Iduronate Ring Puckering Effects on Preferred Glycosidic Linkage Conformations in Heparin/Heparan Sulfate and Dermatan Sulfate Disaccharides.Molecules (Basel, Switzerland) · 2026Article
- GLYCAM Bacterial Carbohydrate Builder: a web-tool for modelling 3D structures of bacterial glycans.bioRxiv : the preprint server for biology · 2026Article
- Exploring Diffusion and Aggregation Behaviors in Carbohydrate Solutions.The journal of physical chemistry. B · 2026Article
- Understanding glycan structure and function through artificial intelligence.BBA advances · 2026Review
- Editor's Choice JAAG: a JSON input file assembler for AlphaFold 3 with glycan integration.Glycobiology · 2025Article
- Glycoregulation of E3(SCF) ubiquitin ligases in unicellular eukaryotes.Glycobiology · 2025Review
- Synergy of Theory, NMR, and Rotational Spectroscopy to Unravel Structural Details of D-Altroside Puckering and Side Chain Orientation.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025Article
- Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiology.Science advances · 2025Article
- Rapid and Reliable Conformational Analysis of Glycans by Small Angle X-Ray Scattering Guided Molecular Dynamics Simulations.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025Article
- N-glycosylation at the receptor binding site drives differences in receptor binding specificity between influenza B virus lineages.Journal of virology · 2025Article
- RedundantThe Journal of organic chemistry · 2025Article
- Differential melting voltage by tandem-trapped ion mobility spectrometry: glycan structure influences glycoprotein stability.RSC chemical biology · 2025Article
- Modeling glycans with AlphaFold 3: capabilities, caveats, and limitations.Glycobiology · 2025Article
- Activity-Based Tracking of Glycan Turnover in Microbiomes.Journal of the American Chemical Society · 2025Article
- Controlling Glycan Folding with Ionic Functional Groups.Journal of the American Chemical Society · 2025Article
- Rapid Stereochemical Analysis of Glycosylations in Flow by Ion Mobility Spectrometry.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Complex carbohydrates are ubiquitous in nature, and together with proteins and nucleic acids they comprise the building blocks of life. But unlike proteins and nucleic acids, carbohydrates form nonlinear polymers, and they are not characterized by robust secondary or tertiary structures but rather by distributions of well-defined conformational states. Their molecular flexibility means that oligosaccharides are often refractory to crystallization, and nuclear magnetic resonance (NMR) spectroscopy augmented by molecular dynamics (MD) simulation is the leading method for their characterization in solution. The biological importance of carbohydrate-protein interactions, in organismal development as well as in disease, places urgency on the creation of innovative experimental and theoretical methods that can predict the specificity of such interactions and quantify their strengths. Additionally, the emerging realization that protein glycosylation impacts protein function and immunogenicity places the ability to define the mechanisms by which glycosylation impacts these features at the forefront of carbohydrate modeling. This review will discuss the relevant theoretical approaches to studying the three-dimensional structures of this fascinating class of molecules and interactions, with reference to the relevant experimental data and techniques that are key for validation of the theoretical predictions.
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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.