Bayesian modeling for Predicting Promiscuity and Selectivity of Molecules based on Safety Pharmacology Profiling Data.
Azzaoui, Kamal, Hamon, Jacques, Whitebread, Steven and Urban, Laszlo (2010) Bayesian modeling for Predicting Promiscuity and Selectivity of Molecules based on Safety Pharmacology Profiling Data. In: Adverse Side Effect Prediction in Preclinical Drug Discovery. Wiley.
Abstract
‘Promiscuity’ is the likelihood property that a compound is found active against many targets which are not necessary the primary target of interest to develop a safe drug.
Promiscuous compounds can carry various adverse effects liabilities and thus restrict the use of the drug or prevent its entry into the clinic. Therefore, there is a clear interest to evaluate compound promiscuity or selectivity at the earliest possible phase of drug discovery. In some cases, the design of compounds with multiple activities in a given pathway may be desirable.
Item Type: | Book Section |
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Additional Information: | archiving not allowed on institutional repository |
Date Deposited: | 14 Dec 2009 13:48 |
Last Modified: | 31 Jan 2013 00:49 |
URI: | https://oak.novartis.com/id/eprint/1812 |