Drug discovery in psychiatric illness: Mining for gold

Greg I. Elmer, Neri Kafkafi

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The discovery of truly efficacious treatments that lead to full recovery is a daunting task in psychiatric illness. A systems-based orientation to in vivo pharmacology has been suggested as a way to transform psychiatric drug discovery and development. A critical catalyst in the success of recent systems biology efforts has been the incorporation of data mining strategies. Our approach to the drug discovery problem has been to utilize the whole animal to provide a systems response that is subsequently mined for predictive attributes with known psychopharmacological value. Our in vivo data mining approach, termed Pattern Array, establishes a framework for screening novel chemical entities based upon a response that represents the net pharmacological effect on the system of interest, namely the central nervous system (CNS). Large scale screening of small molecules by non-conventional approaches such as this at a systems level may improve the identification of novel chemical entities with psychiatric utility. This type of approach will compliment the more labor-intensive models based upon construct validity. It will take the collective effort of many disciplines and numerous strategies in close association with clinical colleagues to address quality of life issues and breakthrough treatment barriers in psychiatric illness.

Original languageAmerican English
Pages (from-to)287-292
Number of pages6
JournalSchizophrenia Bulletin
Volume35
Issue number2
DOIs
StatePublished - May 2009
Externally publishedYes

Keywords

  • Animal model
  • Data mining
  • Exploratory behavior
  • Pattern Array
  • SEE
  • Systems biology

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