Evidence map›Paper›PMID 17340000›Full record

ArticleOrganic & biomolecular chemistry2007

Carbohydrate post-glycosylational modifications.

Hai Yu, Xi Chen

Open access · greenAbstract read
In one paragraph

Article in Organic & biomolecular chemistry, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
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  7. Review
  8. Article
  9. Advances in the Chemical Synthesis of Carbohydrates and Glycoconjugates.Advances in biochemical engineering/biotechnology · 2021
    Review
  10. EngineerACS catalysis · 2020
    Article
  11. Article
  12. Review
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Hai YuDepartment of Chemistry, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA.
Xi Chen
University of California, Davis · US

Funding

Studies of Naturally Occurring Structurally Modified CarbohydratesR01GM076360 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHEN, XI · 2006 to 2010
$1.9M
NIGMS NIH HHS R01 GM076360
6 · The paper itself

Abstract

Carbohydrate modification is a common phenomenon in nature. Many carbohydrate modifications such as some epimerization, O-acetylation, O-sulfation, O-methylation, N-deacetylation, and N-sulfation, take place after the formation of oligosaccharide or polysaccharide backbones. These modifications can be categorized as carbohydrate post-glycosylational modifications (PGMs). Carbohydrate PGMs further extend the complexity of the structures and the synthesis of carbohydrates and glycoconjugates. They also increase the capacity of the biological regulation that is achieved by finely tuning the structures of carbohydrates. Developing efficient methods to obtain structurally defined naturally occurring oligosaccharides, polysaccharides, and glycoconjugates with carbohydrate PGMs is essential for understanding the biological significance of carbohydrate PGMs. Combined with high-throughput screening methods, synthetic carbohydrates with PGMs are invaluable probes in structure-activity relationship studies. We illustrate here several classes of carbohydrates with PGMs and their applications. Recent progress in chemical, enzymatic, and chemoenzymatic syntheses of these carbohydrates and their derivatives are also presented.

Indexed as

Carbohydrate MetabolismCarbohydrate ConformationCarbohydratesGlycosaminoglycansGlycosylationSialic AcidsCarbohydratesGlycosaminoglycansSialic Acids

Identifiers

PMID17340000
PMCPMC2769254
OpenAlexW2115280713

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.