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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Trends in Pharmacolo...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Trends in Pharmacological Sciences
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Analytical pharmacology: the impact of numbers on pharmacology

Authors: Terry, Kenakin; Arthur, Christopoulos;

Analytical pharmacology: the impact of numbers on pharmacology

Abstract

Analytical pharmacology strives to compare pharmacological data to detailed quantitative models. The most famous tool in this regard is the Black/Leff operational model, which can be used to quantify agonism in a test system and predict it in any other system. Here we give examples of how and where analytical pharmacology has been used to classify drugs and predict mechanism of action in pharmacology. We argue for the importance of analytical pharmacology in drug classification and in prediction of drug mechanisms of action. Although some of the specifics of Black's models have been updated to account for new developments, the principles of analytical pharmacology should shape drug discovery for many years to come.

Keywords

Pharmacology, Pharmaceutical Preparations, Drug Discovery, Animals, Humans, Models, Theoretical, Models, Biological

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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