Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 189 - 196 |
| Number of pages | 8 |
| Journal | Trends in Pharmacological Sciences |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2011 |
Cite this
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Analytical pharmacology: the impact of numbers on pharmacology. / Kenakin, Terry; Christopoulos, Arthur.
In: Trends in Pharmacological Sciences, Vol. 32, No. 4, 2011, p. 189 - 196.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Analytical pharmacology: the impact of numbers on pharmacology
AU - Kenakin, Terry
AU - Christopoulos, Arthur
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21397341
U2 - 10.1016/j.tips.2011.01.002
DO - 10.1016/j.tips.2011.01.002
M3 - Article
VL - 32
SP - 189
EP - 196
JO - Trends in Pharmacological Sciences
JF - Trends in Pharmacological Sciences
SN - 0165-6147
IS - 4
ER -