ReviewCellular and molecular life sciences : CMLS2010
Bioinformatics and molecular modeling in glycobiology.
Review in Cellular and molecular life sciences : CMLS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 85 citations in OpenAlex.
- Hydroxyl and Trifluoromethyl Radical Carbohydrate Footprinting for Probing Protein Binding Components of Oligosaccharides.Analytical chemistry · 2025Article
- Review
- Nanochitosan: Commemorating the Metamorphosis of an ExoSkeletal Waste to a Versatile Nutraceutical.Nanomaterials (Basel, Switzerland) · 2021Review
- Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy.International journal of molecular sciences · 2020Review
- Three-Dimensional Structures of Carbohydrates and Where to Find Them.International journal of molecular sciences · 2020Review
- Development of a hexavalent recombinant protein vaccine adjuvanted with Montanide ISA 50 V and determination of its protective efficacy against acute toxoplasmosis.BMC infectious diseases · 2020Article
- glypy: An Open Source Glycoinformatics Library.Journal of proteome research · 2019Article
- Mannose-Specific Lectins from Marine Algae: Diverse Structural Scaffolds Associated to Common Virucidal and Anti-Cancer Properties.Marine drugs · 2019Review
- Application of network smoothing to glycan LC-MS profiling.Bioinformatics (Oxford, England) · 2018Article
- Proper balance of solvent-solute and solute-solute interactions in the treatment of the diffusion of glucose using the Drude polarizable force field.Carbohydrate research · 2018Article
- Computational tools for epitope vaccine design and evaluation.Current opinion in virology · 2015Review
- GlycoRDF: an ontology to standardize glycomics data in RDF.Bioinformatics (Oxford, England) · 2015Article
- The Calcium Goes Meow: Effects of Ions and Glycosylation on Fel d 1, the Major Cat Allergen.PloS one · 2015Article
- In silico design and analysis of a new hyperglycosylated analog of erythropoietin to improve drug efficacy.Advanced biomedical research · 2015Article
- Differential site accessibility mechanistically explains subcellular-specific N-glycosylation determinants.Frontiers in immunology · 2014Article
- All-atom ensemble modeling to analyze small-angle x-ray scattering of glycosylated proteins.Structure (London, England : 1993) · 2013Article
- Targeting the glycoproteome.Glycoconjugate journal · 2013Article
- Understanding the specificity of human Galectin-8C domain interactions with its glycan ligands based on molecular dynamics simulations.PloS one · 2013Article
- Protein-carbohydrate interactions studied by NMR: from molecular recognition to drug design.Current protein & peptide science · 2012Review
- Conformational flexibility of N-glycans in solution studied by REMD simulations.Biophysical reviews · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The field of glycobiology is concerned with the study of the structure, properties, and biological functions of the family of biomolecules called carbohydrates. Bioinformatics for glycobiology is a particularly challenging field, because carbohydrates exhibit a high structural diversity and their chains are often branched. Significant improvements in experimental analytical methods over recent years have led to a tremendous increase in the amount of carbohydrate structure data generated. Consequently, the availability of databases and tools to store, retrieve and analyze these data in an efficient way is of fundamental importance to progress in glycobiology. In this review, the various graphical representations and sequence formats of carbohydrates are introduced, and an overview of newly developed databases, the latest developments in sequence alignment and data mining, and tools to support experimental glycan analysis are presented. Finally, the field of structural glycoinformatics and molecular modeling of carbohydrates, glycoproteins, and protein-carbohydrate interaction are reviewed.
Indexed as
Identifiers
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.