Insights into biological information processing: structural and dynamical analysis of a human protein signalling network

We present an investigation on the structural and dynamical properties of a 'human protein signalling network' (HPSN). This biological network is composed of nodes that correspond to proteins and directed edges that represent signal flows. In order to gain insight into the organization of cell information processing this network is analysed taking into account explicitly the edge directions. We explore the topological properties of the HPSN at the global and the local scale, further applying the generating function formalism to provide a suitable comparative model. The relationship between the node degrees and the distribution of signals through the network is characterized using degree correlation profiles. Finally, we analyse the dynamical properties of small sub-graphs showing high correlation between their occurrence and dynamic stability.

@Article{DFMMP08,
  author       = {de la Fuente, A. and Fotia, G. and Maggio, F. and Mancosu, G. and Pieroni, E.},
  title        = {Insights into biological information processing: structural and dynamical analysis of a human protein signalling network},
  journal      = {Journal of Physics A: Mathematical and Theoretical},
  number       = {22},
  volume       = {41},
  pages        = {224013},
  year         = {2008},
  keywords     = {Bioinformatics},
  doi          = {10.1088/1751-8113/41/22/224013},
  url          = {https://publications.crs4.it/pubdocs/2008/DFMMP08},
}