An integrated approach for inference and mechanistic modeling for advancing drug development

FEBS Lett. 2005 Mar 21;579(8):1878-83. doi: 10.1016/j.febslet.2005.02.012.

Abstract

An important challenge facing researchers in drug development is how to translate multi-omic measurements into biological insights that will help advance drugs through the clinic. Computational biology strategies are a promising approach for systematically capturing the effect of a given drug on complex molecular networks and on human physiology. This article discusses a two-pronged strategy for inferring biological interactions from large-scale multi-omic measurements and accounting for known biology via mechanistic dynamical simulations of pathways, cells, and organ- and tissue level models. These approaches are already playing a role in driving drug development by providing a rational and systematic computational framework.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Animals
  • Computational Biology*
  • Drug Design*
  • Gene Expression Profiling
  • Humans
  • Models, Biological