Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Dynamical properties of biochemical pathways (BPs) help in understanding the functioning of living cells. Their in silico assessment requires simulating a dynamical system with a large number of parameters such as kinetic constants and species concentrations. Such simulations are based on numerical methods that can be time-expensive for large BPs. Moreover, parameters are often unknown and need to be estimated.

Authors

  • Michele Fontanesi
    Department of Computer Science, University of Pisa, 56127 Pisa, Italy.
  • Alessio Micheli
    Department of Computer Science, University of Pisa, Pisa, Italy.
  • Paolo Milazzo
    Department of Computer Science, University of Pisa, 56127 Pisa, Italy.
  • Marco Podda
    Department of Computer Science, University of Pisa, Italy. Electronic address: marco.podda@di.unipi.it.