Evidence map›Paper›PMID 20428082›Full record

ReviewMolecules (Basel, Switzerland)2010

Mu-conotoxins as leads in the development of new analgesics.

Raymond S Norton

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. A novel proline-rich M-superfamily conotoxin that can simultaneously affect sodium, potassium and calcium currents.The journal of venomous animals and toxins including tropical diseases · 2021
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Conotoxin gene superfamilies.Marine drugs · 2014
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. The insecticidal potential of venom peptides.Cellular and molecular life sciences : CMLS · 2013
    Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Raymond S NortonWalter and Eliza Hall Institute of Medical Research, Victoria, Australia. ray.norton@wehi.edu.au
Walter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Voltage-gated sodium channels (VGSCs) contain a specific binding site for a family of cone shell toxins known as mu-conotoxins. As some VGSCs are involved in pain perception and mu-conotoxins are able to block these channels, mu-conotoxins show considerable potential as analgesics. Recent studies have advanced our understanding of the three-dimensional structures and structure-function relationships of the mu-conotoxins, including their interaction with VGSCs. Truncated peptide analogues of the native toxins have been created in which secondary structure elements are stabilized by non-native linkers such as lactam bridges. Ultimately, it would be desirable to capture the favourable analgesic properties of the native toxins, in particular their potency and channel sub-type selectivity, in non-peptide mimetics. Such mimetics would constitute lead compounds in the development of new therapeutics for the treatment of pain.

Indexed as

Drug DesignAnalgesicsConotoxinsHumansIon Channel GatingPainProtein Structure, SecondarySodium ChannelsStructure-Activity RelationshipAnalgesicsConotoxinsSodium Channels

Identifiers

PMID20428082
PMCPMC6257286
OpenAlexW2018422163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.