From gene networks to drugs: systems pharmacology approaches for AUD.

摘要: The alcohol research field has amassed an impressive number of gene expression datasets spanning key brain areas for addiction, species (humans as well multiple animal models), and stages in the addiction cycle (binge/intoxication, withdrawal/negative effect, preoccupation/anticipation). These data have improved our understanding molecular adaptations that eventually lead to dysregulation function chronic, relapsing disorder addiction. Identification new medications treat use (AUD) will likely benefit from integration genetic, genomic, behavioral information included these important datasets. Systems pharmacology considers drug effects outcome complex network interactions a rather than single drug-molecule interaction. Computational strategies based on this principle integrate signatures pharmaceuticals disease states shown promise identifying treatments ameliorate symptoms (called silico mapping or connectivity mapping). In review, we suggest profiling is critical improve repurposing discovery AUD other psychiatric illnesses. We highlight studies successfully apply computational approaches identify repurpose pharmaceutical Furthermore, address challenges must be overcome maximize potential translate clinic healthcare outcomes.