Large-scale Prediction of Drug-Target Relationships

FEBS Lett. 2008 Apr 9;582(8):1283-90. doi: 10.1016/j.febslet.2008.02.024. Epub 2008 Feb 20.

Abstract

The rapidly increasing amount of publicly available knowledge in biology and chemistry enables scientists to revisit many open problems by the systematic integration and analysis of heterogeneous novel data. The integration of relevant data does not only allow analyses at the network level, but also provides a more global view on drug-target relations. Here we review recent attempts to apply large-scale computational analyses to predict novel interactions of drugs and targets from molecular and cellular features. In this context, we quantify the family-dependent probability of two proteins to bind the same ligand as function of their sequence similarity. We finally discuss how phenotypic data could help to expand our understanding of the complex mechanisms of drug action.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Pharmaceutical Preparations / metabolism*
  • Proteins / metabolism*

Substances

  • Pharmaceutical Preparations
  • Proteins