Biological networks

In biology network are ubiquitous. Networks are found at the molecular level of protein interactions, metabolic networks and gene regulation but also at the cellular level of the neuron interactions. Finally networks are also encoding between species in ecosystems.

My interests have been focusing on:

Inference problem related to the reverse engineering of regulatory networks or neural networks and to the problem of assessing the relevance of features for network structure.
Dynamical properties of metabolic and protein interaction networks
Modeling of the evolution of networks and populations

Selected publications

G. Bianconi, P. Pin and M. Marsili,
Assessing the relevance of node features for network structure
PNAS 106, 11433 (2009).
(In this paper we build a model able to assess the relevance of feature for network structure. An application is the study of the relevance of protein concentrations on protein interaction networks)
N. Soranzo, G. Bianconi and C. Altafini,
Comparing association network algorithms for reverse engineering of large-scale regulatory networks:synthetic versus real data.
Bioinformatics, 23 1640 (2007).
(In this paper we compare different algorithms for the reverse engineering of large scale regulatory networks)
G. Bianconi,
Flux distribution close to optimal biomass production
Phys. Rev. E 78 035101(R) (2008).
(In this paper we study the flux distribution of metabolic networks close to optimal biomass production)
A. Angelini, A. Amato G. Bianconi, B. Bassetti and M. Cosentino Lagomarsino,
Mean-field methods in duplication-innovation-loss models for the genomics of structural protein domains
arxiv:0910.4253 (2009).
(In this paper we model the evolution of domain families)
G. Bianconi, L. Ferretti and S. Franz,
Non-neutral theory of biodiversity
Europhys. Lett. 87, 28001 (2009).