Reference : In Silico Dynamic Molecular Interaction Networks for the Discovery of New Therapeutic...
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Life sciences : Biochemistry, biophysics & molecular biology
In Silico Dynamic Molecular Interaction Networks for the Discovery of New Therapeutic Targets
Vujasinovic, Todor [Helios BioSciences > > > >]
Zampera, André Sinisa [Helios BioSciences > > > >]
Jackers, Pascale [Université de Liège - ULiège > > Center for Analytical Research and Technology (CART) >]
Sanoudou, Despina [Biomedical Research Foundation of the Academy of Athens > Molecular Biology Division > > >]
Depaulis, Antoine mailto [Université Joseph Fourier - Grenoble 1 - UJF > Institut des Neurosciences > > >]
Current Pharmaceutical Design
Bentham Science Publishers Ltd.
Yes (verified by ORBi)
The Netherlands
[en] Systems biology ; models ; transcriptomics ; proteomics ; data mining ; bioinformatics ; genomics ; therapeutic ; taget ; neurodegeneration
[en] 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.
Centre Interfacultaire d'Analyse des Résidus en Traces - CART
Research funds from the European Union 6th Framework Program for Research and Technological Development, “Life sciences, genomics and biotechnology for health”, VALAPODYN, contract #LSHG-CT-2006-037277
Validated "Predictive Dynamic Models of Complex Intracellular Pathways Related to Cell Death and Survival"
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