Modeling analgesic drug interactions using support vector regression: a new approach to isobolographic analysis.

Journal: Journal of pharmacological and toxicological methods

PMID: 25264307

Abstract

BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for predicting the pharmacological and/or toxicological effects that can be obtained using combined drug therapy.

Authors

Robert Sałat

Faculty of Production Engineering, Warsaw University of Life Sciences, Nowoursynowska 164, 02-787 Warsaw, Poland.
Kinga Sałat

Department of Pharmacodynamics, Chair of Pharmacodynamics, Jagiellonian University, Medical College, Medyczna 9, 30-688 Cracow, Poland. Electronic address: salat.kinga@gmail.com.

Keywords

Analgesics Animals Dose-Response Relationship, Drug Drug Interactions Injections, Intraperitoneal Male Mice Organoplatinum Compounds Oxaliplatin Peripheral Nervous System Diseases Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (25264307)

Modeling analgesic drug interactions using support vector regression: a new approach to isobolographic analysis.

Abstract

Authors

Keywords

External Resources

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