Sara Montagna, Mirko Viroli

A state-of-the-art problem in Computational Systems Biology is to provide suitable tools to model and predict the behaviour of multicellular systems (tissues, embryos) where biological interactions occur both inside and between cells (or compartments in general). Starting from existing computational models and languages such as stochastic pi-calculus, Petri Nets, mobile ambients, and membrane computing, we developed a new computational framework based on information a compositional model for biological compartments, and (ii) an enhanced model of chemical rules addressing also biomechanical actions such as substances diffusion across membranes or compartments splitting. We tested the framework using a case study based on spatial pattern formation in embryogenesis, where the interplay between cells' internal dynamics and cell-to-cell interactions seems to have a central role.

Congress on Evolutionary Computation (CEC 2009)
21/05/2009

Tags:
    

Presentazione

— oratori/oratrici

— autori/autrici

— tipo

presentazione

— lingua

wgb.gif

Contesto

Congress on Evolutionary Computation (CEC 2009)

— quando

21/05/2009

Partita IVA: 01131710376 - Copyright © 2008-2021 APICe@DISI Research Group - PRIVACY