title: Striking a balance between feasible and realistic biological           models.
abstract: 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.
authors.affiliation: Columbia Initiative in Systems Biology, Columbia University, New York, NY 10032, USA. califano@c2b2.columbia.edu
authors.forename: Andrea
authors.initials: A
authors.lastname: Califano
mesh_terms: D000818:Animals; D019295:Computational Biology; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms