160 citations · 169 across the 8 of their papers we have counts for
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q-bio.MN2019
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…
q-bio.MN2017★ 8 cited
A Van-Der-Waals picture for metabolic networks from MaxEnt modeling: inherent bistability and elusive coexistence
Daniele De Martino
In this work maximum entropy distributions in the space of steady states of metabolic networks are defined upon constraining the first and second moment of the growth rate. Inheren…
q-bio.MN2011★ 1 cited
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…