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Molecular modeling of gene regulation, transcription and translation Print

 

Progetto Nobel

Project facts

Principal investigator:Prof. Corrado Priami
Funding agency:Cariplo Foundation and Caritro Foundation
Duration:36 months
Starting date:1-Feb-2008
Euro:1.700.000
Contact person:
 Ivan Mura

 

 

Summary

This project addresses the bio-inspired definition of new modelling languages and tools that are suited to represent and to analyze the properties and the time-dependent behaviour of complex systems composed of a huge number of competing, cooperating and communicating components. Starting from the excellent and challenging examples provided by a set of selected case studies from biological systems offered by the other NOBEL platforms, the project intends to identify the key modelling elements required to capture and characterize the aspects of modularity, self-organization and hierarchy to define and prototype a composable and scalable framework that integrates modelling and evaluation features for analysis, prediction of systems behaviour and inference of new knowledge. The involvement of bioscientists conducting project-specific ongoing experimental research on reverse engineering of living cells is essential to the strategic concept of this proposal. The close cooperation of experts from the ICT field and systems analysis (reverse engineering) and scientists from the field of molecular biosciences creates an integrated multi-disciplinary effort whose results will be applicable to both research communities. The modelling framework produced by the project will be subject to evaluation with respect to the biological case studies used for determining the requirements of the framework.

Partners

Prof. Silvano Riva – Istituto di Genetica Molecolare, Consiglio Nazionale delle Ricerche
Platform: GENETIC AND EPIGENETIC CONTROL OF GENOME STABILITY

Prof. Roberto Sitia – Fondazione San Raffaele Milano
Platform: GENO PROTEOMICS OF AGE RELATED DISORDERS (GuARD)

Prof. Alberto Mantovani – Istituto Clinico Humanitas
Platform: GENETIC AND FUNCTIONAL GENOMICS OF MYELOMONOCYTIC CELLS
 

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