Evidence map›Paper›PMID 24309315›Full record

ArticlePharmaceutics2011

Ionic channels as targets for drug design: a review on computational methods.

Gregorio Fernández-Ballester, Asia Fernández-Carvajal, José Manuel González-Ros, Antonio Ferrer-Montiel

Abstract read
In one paragraph

Article in Pharmaceutics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. TXA11114: Discovery of anAntibiotics (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. Asymmetric Interplay Between KFrontiers in physiology · 2021
    Article
  6. KInternational journal of molecular sciences · 2020
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Genetics of congenital and drug-induced long QT syndromes: current evidence and future research perspectives.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2013
    Review
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

4 authors.

Gregorio Fernández-BallesterInstituto de Biología Molecular y Celular, Universidad Miguel Hernández, Alicante 03202, Spain. gregorio@umh.es.
Asia Fernández-Carvajal
José Manuel González-Ros
Antonio Ferrer-Montiel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ion channels are involved in a broad range of physiological and pathological processes. The implications of ion channels in a variety of diseases, including diabetes, epilepsy, hypertension, cancer and even chronic pain, have signaled them as pivotal drug targets. Thus far, drugs targeting ion channels were developed without detailed knowledge of the molecular interactions between the lead compounds and the target channels. In recent years, however, the emergence of high-resolution structures for a plethora of ion channels paves the way for computer-assisted drug design. Currently, available functional and structural data provide an attractive platform to generate models that combine substrate-based and protein-based approaches. In silico approaches include homology modeling, quantitative structure-activity relationships, virtual ligand screening, similarity and pharmacophore searching, data mining, and data analysis tools. These strategies have been frequently used in the discovery and optimization of novel molecules with enhanced affinity and specificity for the selected therapeutic targets. In this review we summarize recent applications of in silico methods that are being used for the development of ion channel drugs.

Identifiers

PMID24309315
PMCPMC3857065

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Registered trials

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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.