http://www.crm.sns.it/event/422/

Multiscale modeling and simulations to bridge molecular and cellular scales

Predicting cellular behavior from molecular level remains a key issue in systems and computational biology due to the large complexity encountered in biological systems: large number of molecular players; multiple spatial scales that vary from nanometer up to micro- or millimeter; multiple time scales that vary from micro- up to milliseconds or seconds; complex biochemical signaling pathways with feedback loops; multi-ion interactions; complex geometry and spatial organization; biological heterogeneity together with intrinsic and extrinsic stochasticity.

To integrate this complexity, realistic models of molecular and cellular systems require a combination between sophisticated analytic and numerical analysis and computer simulations.

This workshop will bring together physicists, mathematicians and computer scientists to discuss new approaches in systems biology with focus on:

1. Modeling sensory transduction and molecular signal transduction pathways (phototransduction and olfaction),
2. Cardiac models and simulations,
3. Modeling electrodiffusion using Poisson-Nernst-Planck non-linear equations, multi-ion dynamics at synapses and in signal transduction,
4. Solvers for ODEs and PDEs,
5. Parameter estimations and identifiability,
6. Modeling and analysis of noise in chemical reactions.

Program

9:00-9:45 Holcman, David
"Hybrid simulations and applications to modeling synaptic transmission and growth cone triangulation"

9:45-10:45 Savtchenko, Leonid
"Biophysical basis of astroglial physiology probed with realistic simulation tool ASTRO"

10:45-11:00 Coffee break

11:00-12:15 Drasdo, Dirk
"Using integrated multiscale models to guide experimental decisions and designs: Lessons from drug-induced liver damage,
its functional consequences and regeneration"

12:15-14:00 Lunch break