Mining mouse behavior for patterns predicting psychiatric drug classification.

ABSTRACT:

Rationale

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.

Objectives

This study aims to investigate the feasibility of a single high-throughput behavioral assay to classify psychiatric drugs into multiple psychopharmacological classes.

Methods

Using Pattern Array, a procedure for data mining exploratory behavior in mice, we mined ~100,000 complex movement patterns for those that best predict psychopharmacological class and dose. The best patterns were integrated into a classification model that assigns psychopharmacol

SUBMITTER: Kafkafi N 

PROVIDER: S-EPMC8056474 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature