Evidence map›Paper›PMID 26635886›Full record

ArticleDrug discovery today. Disease models2014

Computational Models for Predictive Cardiac Ion Channel Pharmacology.

Vladimir Yarov-Yarovoy, Toby W Allen, Colleen E Clancy

Abstract read
In one paragraph

Article in Drug discovery today. Disease models, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Exploring cardiac form and function: A length-scale computational biology approach.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  5. Review
  6. Review
  7. 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

3 authors.

Vladimir Yarov-YarovoyDepartment of Physiology and Membrane Biology, University of California, Davis.
Toby W AllenDepartment of Chemistry, University of California, Davis.
Colleen E ClancyDepartment of Pharmacology, University of California, Davis.

Funding

Pharmacogenomics and antiarrhythmic therapy: An in silico investigationR01HL085592 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CLANCY, COLLEEN E · 2007 to 2011
$1.8M
NHLBI NIH HHS R01 HL085592
6 · The paper itself

Abstract

A wealth of experimental data exists describing the elementary building blocks of complex physiological systems. However, it is increasingly apparent in the biomedical sciences that mechanisms of biological function cannot be observed or readily predicted via study of constituent elements alone. This is especially clear in the longstanding failures in prediction of effects of drug treatment for heart rhythm disturbances. These failures stem in part from classical assumptions that have been made in cardiac antiarrhythmic drug development - that a drug operates by one mechanism via one target receptor that arises from one gene.

Identifiers

PMID26635886
PMCPMC4665638

What OpenQuestion holds

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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.