Overcoming drug resistance through in silico prediction

Drug Discov Today Technol. 2014 Mar;11:101-7. doi: 10.1016/j.ddtec.2014.03.012.

Abstract

Prediction tools are commonly used in pre-clinical research to assist target selection, to optimize drug potency or to predict the pharmacological profile of drug candidates. In silico prediction and overcoming drug resistance is a new opportunity that creates a high interest in pharmaceutical research. This review presents two main in silico strategies to meet this challenge: a structure-based approach to study the influence of mutations on the drug-target interaction and a system-biology approach to identify resistance pathways for a given drug. In silico screening of synergies between therapeutic and resistant pathways through biological network analysis is an example of technique to escape drug resistance. Structure-based drug design and in silico system biology are complementary approaches to reach few objectives at once: increase efficiency, reduce toxicity and overcoming drug resistance.

Publication types

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

MeSH terms

  • Computer Simulation
  • Drug Resistance*
  • Molecular Structure
  • Systems Biology