Interdisciplinary Sciences: Computational Life Sciences

, Volume 5, Issue 2, pp 85–94

Network nonlinearities in drug treatment


DOI: 10.1007/s12539-013-0165-x

Cite this article as:
Míguez, D.G. Interdiscip Sci Comput Life Sci (2013) 5: 85. doi:10.1007/s12539-013-0165-x


Despite major achievements in the understanding of human disease, there is a general perception that the drug development industry has failed to meet the expectations that recent advances in biotechnology should drive. One of the potential sources of failure of many next generation drugs is that their targets are embedded in highly nonlinear signaling pathways and gene networks with multiple negative and positive feedback loops of regulation. There is increasing evidence that this complex network shapes the response to external perturbations in the form of drug treatment, originating bistability, hypersensitivity, robustness, complex dose-response curves or schedule dependent activity. This review focuses on the effect of nonlinearities on signaling and gene networks involved in human disease, using tools from Nonlinear Dynamics to discuss the implications and to overcome the effects of the nonlinearities on regulatory networks.

Key words

bistabilitymathematical modelingsystems pharmacology

Copyright information

© International Association of Scientists in the Interdisciplinary Areas and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Depto. de Física de la Materia Condensada and Instituto Nicolás Cabrera Universidad Autónoma de MadridMadridSpain
  2. 2.Condensed Matter Physics Center (IFIMAC)Universidad Autónoma de MadridMadridSpain