Computational models for predictive cardiac ion channel pharmacology

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)3-10
Number of pages8
JournalDrug Discovery Today: Disease Models
Volume14
DOIs
StatePublished - Feb 4 2014

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Ion Channels
Pharmacology
Biological Science Disciplines
Anti-Arrhythmia Agents
Pharmaceutical Preparations
Genes

ASJC Scopus subject areas

  • Drug Discovery
  • Molecular Medicine

Cite this

Computational models for predictive cardiac ion channel pharmacology. / Yarov-Yarovoy, Vladimir; Allen, Toby W.; Clancy, Colleen E.

In: Drug Discovery Today: Disease Models, Vol. 14, 04.02.2014, p. 3-10.

Research output: Contribution to journalArticle

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