Evidence map›Paper›PMID 23528952›Full record

ReviewMarine drugs2013

Computational studies of marine toxins targeting ion channels.

M Harunur Rashid, Somayeh Mahdavi, Serdar Kuyucak

Open access · goldAbstract readReview
In one paragraph

Review in Marine drugs, 2013. 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
2.1field-weighted citation impact, top 13% 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, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. ConoMode, a database for conopeptide binding modes.Database : the journal of biological databases and curation · 2020
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Biobetters From an Integrated Computational/Experimental Approach.Computational and structural biotechnology journal · 2017
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  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

3 authors at 1 institution in 1 country.

M Harunur RashidSchool of Physics, University of Sydney, New South Wales 2006, Australia. harun@physics.usyd.edu.au
Somayeh Mahdavi
Serdar Kuyucak
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxins from marine animals offer novel drug leads for treatment of diseases involving ion channels. Computational methods could be very helpful in this endeavour in several ways, e.g., (i) constructing accurate models of the channel-toxin complexes using docking and molecular dynamics (MD) simulations; (ii) determining the binding free energies of toxins from umbrella sampling MD simulations; (iii) predicting the effect of mutations from free energy MD simulations. Using these methods, one can design new analogs of toxins with improved affinity and selectivity properties. Here we present a review of the computational methods and discuss their applications to marine toxins targeting potassium and sodium channels. Detailed examples from the potassium channel toxins-ShK from sea anemone and κ-conotoxin PVIIA-are provided to demonstrate capabilities of the computational methods to give accurate descriptions of the channel-toxin complexes and the energetics of their binding. An example is also given from sodium channel toxins (μ-conotoxin GIIIA) to illustrate the differences between the toxin binding modes in potassium and sodium channels.

Indexed as

Drug DesignModels, MolecularAnimalsDrug DiscoveryHumansMarine ToxinsMolecular Docking SimulationMolecular Dynamics SimulationPotassium ChannelsSodium ChannelsMarine ToxinsPotassium ChannelsSodium Channels

Identifiers

PMID23528952
PMCPMC3705375
OpenAlexW2127567843

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.