Computational Technologies for Multi-Level Integration
Advances in mathematical and computational techniques have made it possible to anchor the analysis of large, organizationally complex systems into a solid theoretical and numerical foundation and to study rigorously the emergence of properties that are observed in systems but in none of their components. Methods of algebra and numerical analysis permit the selection of features and reduction of dimensionality within an overwhelming amount of data, the identification of the most significant components in a system, and the analysis and optimization of very large biological flux distribution networks. Computer-aided approximation approaches yield ever-finer insights into the dynamics of complex nonlinear systems. De novo mathematical, physical, and computational methods are beginning to render it possible to predict the folding of proteins, the binding between target sites and ligands, the development of yet unnoticed occlusions within the turbulence of a perfused blood vessel, the onset of disease when prevention is still an option, and the development of new generations of pharmaceutical products.
The Frontiers conference will have several presentations on recent
advances in mathematical modeling techniques and high-performance computing
and their futuristic applications in systems and synthetic biology.