Display Settings:


Send to:

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

Striking a balance between feasible and realistic biological models.

Author information

  • Columbia Initiative in Systems Biology, Columbia University, New York, NY 10032, USA. califano@c2b2.columbia.edu


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.

[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for HighWire
    Loading ...
    Write to the Help Desk