Striking a balance between feasible and realistic biological models

Sci Transl Med. 2011 Oct 5;3(103):103ps39. doi: 10.1126/scitranslmed.3003079.


The fusion of empirical science with large-scale computing platforms has allowed rapid advances in our ability to model physiological and pathophysiological processes in silico. In this week's issue of Science Translational Medicine, Tran et al. present a simple framework for the quantitative modeling of oncogene addiction that provides mechanistic insights into tumor biology.

MeSH terms

  • Animals
  • Computational Biology
  • Computer Simulation
  • Humans
  • Models, Biological*
  • Neoplasms*