Evidence map›Paper›PMID 26633507›Full record

ReviewToxins2015

Computational Studies of Venom Peptides Targeting Potassium Channels.

Rong Chen, Shin-Ho Chung

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. In Silico Conotoxin Studies: Progress and Prospects.Molecules (Basel, Switzerland) · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. 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

2 authors at 1 institution in 1 country.

Rong ChenResearch School of Biology, Australian National University, Acton ACT 2601, Australia. rong.chen@anu.edu.au.
Shin-Ho ChungResearch School of Biology, Australian National University, Acton ACT 2601, Australia. shin-ho.chung@anu.edu.au.
Australian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small peptides isolated from the venom of animals are potential scaffolds for ion channel drug discovery. This review article mainly focuses on the computational studies that have advanced our understanding of how various toxins interfere with the function of K⁺ channels. We introduce the computational tools available for the study of toxin-channel interactions. We then discuss how these computational tools have been fruitfully applied to elucidate the mechanisms of action of a wide range of venom peptides from scorpions, spiders, and sea anemone.

Indexed as

Models, MolecularAnimalsHumansPeptidesPotassium ChannelsVenomsPeptidesPotassium ChannelsVenomsmolecular dynamicsmolecular modelingpeptide toxinspotassium channels

Identifiers

PMID26633507
PMCPMC4690127
OpenAlexW2183897800

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.