Open AccessMining mouse behavior for patterns predicting psychiatric drug classification
Author(s) -
Neri Kafkafi,
Cheryl L. Mayo,
Gregory I. Elmer
Publication year - 2013
Publication title -
psychopharmacology/psychopharmacologia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.378
H-Index - 196
eISSN - 1432-2072
pISSN - 0033-3158
DOI - 10.1007/s00213-013-3230-6
Subject(s) - stimulant , drug , drug repositioning , psychopharmacology , machine learning , drug class , antidepressant , psychology , artificial intelligence , computer science , psychiatry , anxiety
In psychiatric drug discovery, a critical step is predicting the psychopharmacological effect and therapeutic potential of novel (or repurposed) compounds early in the development process. This process is hampered by the need to utilize multiple disorder-specific and labor-intensive behavioral assays.