ArticleBeilstein journal of organic chemistry2012
The use of glycoinformatics in glycochemistry.
Article in Beilstein journal of organic chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed, 25 citations in OpenAlex.
- Orthodox vs. Paradox: Supporting the Central Dogma With Sugar Code.Proteomics · 2026Review
- Glycoinformatics in the Artificial Intelligence Era.Chemical reviews · 2022Review
- UniLectin3D, a database of carbohydrate binding proteins with curated information on 3D structures and interacting ligands.Nucleic acids research · 2019Article
- GlycoRDF: an ontology to standardize glycomics data in RDF.Bioinformatics (Oxford, England) · 2015Article
- Multivalent glycosystems for nanoscience.Beilstein journal of organic chemistry · 2014Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glycoinformatics is a small but growing branch of bioinformatics and chemoinformatics. Various resources are now available that can be of use to glycobiologists, but also to chemists who work on the synthesis or analysis of carbohydrates. This article gives an overview of existing glyco-specific databases and tools, with a focus on their application to glycochemistry: Databases can provide information on candidate glycan structures for synthesis, or on glyco-enzymes that can be used to synthesize carbohydrates. Statistical analyses of glycan databases help to plan glycan synthesis experiments. 3D-Structural data of protein-carbohydrate complexes are used in targeted drug design, and tools to support glycan structure analysis aid with quality control. Specific problems of glycoinformatics compared to bioinformatics for genomics or proteomics, especially concerning integration and long-term maintenance of the existing glycan databases, are also discussed.
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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.