In Silico Dynamic Molecular Interaction Networks for the Discovery of New Therapeutic Targets

Title: In Silico Dynamic Molecular Interaction Networks for the Discovery of New Therapeutic Targets

Volume: 16 Issue: 20

Author(s): Todor Vujasinovic, Andre Sinisa Zampera, Pascale Jackers, Despina Sanoudou and Antoine Depaulis

Affiliation:

Keywords: Systems biology, models, transcriptomics, proteomics, data mining, bioinformatics

Abstract: Systems biology has emerged as a major trend in biological research during the past decade. As living organisms are described in more and more detail, it aims at filling the gap between understanding basic molecular processes and complex biological systems in which new properties often emerge from the combination of these elementary processes. This approach culminates in the development of computer-based mathematical models of physiological and pathophysiological processes. We review the state of the art in dynamic modelling, with emphasis on two complementary approaches: the modelling of small systems that is mostly developed by academic teams and aims at understanding generic biological properties, and the modelling of large systems that is mostly implemented by industrial companies and aims at the generation of new therapeutic strategies. We also provide an example of such large-scale modelling applied to the identification of drug targets for neurodegeneration.

Cite this article as:

Vujasinovic Todor, Sinisa Zampera Andre, Jackers Pascale, Sanoudou Despina and Depaulis Antoine, In Silico Dynamic Molecular Interaction Networks for the Discovery of New Therapeutic Targets, Current Pharmaceutical Design 2010; 16 (20) . https://dx.doi.org/10.2174/138161210791792822