58 citations · 290 across the 24 of their papers we have counts for
24 papers
Competing endogenous RNA crosstalk at system level
Mattia Miotto, Enzo Marinari, Andrea De Martino
microRNAs (miRNAs) regulate gene expression at post-transcriptional level by repressing target RNA molecules. Competition to bind miRNAs tends in turn to correlate their targets, e…
The Essential Role of Thermodynamics in metabolic network modeling: physical insights and computational challenges
A. De Martino, D. De Martino, E. Marinari
Quantitative studies of cell metabolism are often based on large chemical reaction network models. A steady state approach is suited to analyze phenomena on the timescale of cell g…
Initial cell density encodes proliferative potential in cancer cell populations
Chiara Enrico Bena, Marco Del Giudice, Alice Grob +8
Individual cells exhibit specific proliferative responses to changes in microenvironmental conditions. Whether such potential is constrained by the cell density throughout the grow…
Computing fluxes and chemical potential distributions in biochemical networks: energy balance analysis of the human red blood cell
Daniele De Martino, Matteo Figliuzzi, Andrea De Martino +1
The analysis of non-equilibrium steady states of biochemical reaction networks relies on finding the configurations of fluxes and chemical potentials satisfying stoichiometric (mas…
Optimal flux states, reaction replaceability and response to knockouts in the human red blood cell
A. De Martino, D. Granata, E. Marinari +2
Characterizing the capabilities, criticalities and response to perturbations of genome-scale metabolic networks is a basic problem with important applications. A key question conce…
Constrained Markovian dynamics of random graphs
A. C. C. Coolen, A. De Martino, A. Annibale
We introduce a statistical mechanics formalism for the study of constrained graph evolution as a Markovian stochastic process, in analogy with that available for spin systems, deri…