Strategies to support drug discovery through integration of systems and data.
Much progress has been made over the past several years to provide technologies for the integration of drug discovery software applications and the underlying data bits. Integration at the application layer has focused primarily on developing and delivering applications that support specific workflows within the drug discovery arena. A fine balance between creating behemoth applications and providing business value must be maintained. Heterogeneous data sources have typically been integrated at the data level in an effort to provide a more holistic view of the data packages supporting key decision points. This review will highlight past attempts, current status, and potential future directions for systems and data integration strategies in support of drug discovery efforts.
Waller
Chris L
CL
Chemistry Informatics, Pfizer Global Research and Development, Pfizer, Eastern Point Road, Groton, CT 06340, USA. chris_l_waller@pfizer.com
Shah
Ajay
A
Nolte
Matthias
M
D017046:Cost Savings; D017277:Drug Approval / Q000191:economics / Q000379:methods / Q000706:statistics & numerical data; D015195:Drug Design; D004345:Drug Industry / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D008962:Models, Theoretical; D018511:Systems Integration