Multiscale Models for Systems and Synthetic Biology
The 2008 International Conference on Bioinformatics
and Computational Biology
(BIOCOMP'08: July 14-17, 2008, Las Vegas, USA)
co-sponsored by 2008 World Congress in Computer Science, Computer Engineering and Applied Computing ( WORLDCOMP'08: http://www.worldacademyofscience.org/
The nascent fields of systems and synthetic biology offer the promise of designer gene networks that precisely control the expression of protein molecules. Multiscale computational tools rationalize systems and synthetic biology using model-driven, molecular-level engineering principles and mathematical theories that describe biological knowledge are becoming an important component for progress in quantitative biology. Although the principles of thermodynamics, kinetics and transport phenomena apply to biological systems, these systems differ from industrial-scale chemical systems in a fundamental way: biomolecular systems are occasionally far from the thermodynamic limit.
The fact that biomolecular systems can be very far from the thermodynamic limit, with reactants/products numbering only very small numbers of molecules in the system, hinders the application of mathematics developed by physicists, chemists and chemical engineers to model kinetic and thermodynamic processes in living organisms. The need arises for multiscale models that account for inherent, thermal noise, which is manifest as phenotypic distributions at the population growth/interaction leves.
The focus of the proposed session will be the current developments of multiscale models for gene regulatory networks and the development of optimization methods for designing biological systems.
Chair of Session:
Prof. Yiannis N. Kaznessis
Director, Bioinformatics Summer Institute,
University of Minnesota, Minneapolis, Minnesota, USA
Tel: 612 624-4197