Enrichment analysis of phenotypic data for drug repurposing in rare diseases.

ABSTRACT: Drug-induced Behavioral Signature Analysis (DBSA), is a machine learning (ML) method for in silico screening of compounds, inspired by analytical methods quantifying gene enrichment in genomic analyses. When applied to behavioral data it can identify drugs that can potentially reverse in vivo behavioral symptoms in animal models of human disease and suggest new hypotheses for drug discovery and repurposing. We present a proof-of-concept study aiming to assess Drug-induced Behavioral Signature Analysis (DBSA) as a systematic approach for drug discovery for rare disorders. We applied Drug-induced Behavioral Signature Analysis to high-content behavioral data obtained with SmartCube^®, an automated in vivo phenotyping platform. The therapeutic potential of severa

SUBMITTER: Ambesi-Impiombato A 

PROVIDER: S-EPMC10407094 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature