Evidence map›Paper›PMID 23305367›Full record

ReviewCurrent protein & peptide science2012

Protein-carbohydrate interactions studied by NMR: from molecular recognition to drug design.

Maria del Carmen Fernández-Alonso, Dolores Díaz, Manuel Álvaro Berbis, Filipa Marcelo, Javier Cañada, Jesús Jiménez-Barbero

Abstract readReview
In one paragraph

Review in Current protein & peptide science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biochemistry · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Carbohydrate-based drugs launched during 2000Acta pharmaceutica Sinica. B · 2022
    Review
  12. Article
  13. Article
  14. A Simple Biomimetic Receptor Selectively Recognizing the GlcNAcAngewandte Chemie (International ed. in English) · 2021
    Article
  15. Article
  16. Carbohydrate-Protein Interactions: Advances and Challenges.Communications in information and systems · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Comparative Study of ArylMolecules (Basel, Switzerland) · 2019
    Article
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

6 authors.

Maria del Carmen Fernández-AlonsoCentro de Investigaciones Biologicas-CSIC. Calle Ramiro de Maeztu, 9. 28040. Madrid, Spain.
Dolores Díaz
Manuel Álvaro Berbis
Filipa Marcelo
Javier Cañada
Jesús Jiménez-Barbero

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diseases that result from infection are, in general, a consequence of specific interactions between a pathogenic organism and the cells. The study of host-pathogen interactions has provided insights for the design of drugs with therapeutic properties. One area that has proved to be promising for such studies is the constituted by carbohydrates which participate in biological processes of paramount importance. On the one hand, carbohydrates have shown to be information carriers with similar, if not higher, importance than traditionally considered carriers as amino acids and nucleic acids. On the other hand, the knowledge on molecular recognition of sugars by lectins and other carbohydrate-binding proteins has been employed for the development of new biomedical strategies. Biophysical techniques such as X-Ray crystallography and NMR spectroscopy lead currently the investigation on this field. In this review, a description of traditional and novel NMR methodologies employed in the study of sugar-protein interactions is briefly presented in combination with a palette of NMR-based studies related to biologically and/or pharmaceutically relevant applications.

Indexed as

Carbohydrate MetabolismDrug DesignDiseaseHealthHumansMagnetic Resonance SpectroscopyProtein BindingProteinsProteins

Identifiers

PMID23305367
PMCPMC3706953

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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.