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20092026
most citedStatistical mechanics for metabolic networks during steady-state growth

60 citations · 405 across the 30 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cond-mat.stat-mech2017★ 1 cited

Phase transitions in integer linear problems

S. Colabrese, D. De Martino, L. Leuzzi +1

The resolution of linear system with positive integer variables is a basic yet difficult computational problem with many applications. We consider sparse uncorrelated random system…

q-bio.MN2017★ 2 cited

Constraint-based inverse modeling of metabolic networks: a proof of concept

Daniele De Martino, Andrea De Martino

We consider the problem of inferring the probability distribution of flux configurations in metabolic network models from empirical flux data. For the simple case in which experime…

q-bio.MN2017★ 60 cited

Statistical mechanics for metabolic networks during steady-state growth

Daniele De Martino, Anna MC Andersson, Tobias Bergmiller +2

Which properties of metabolic networks can be derived solely from stoichiometric information about the network's constituent reactions? Predictive results have been obtained by Flu…

q-bio.MN2017★ 7 cited

The free lunch of a scale-free metabolism

Daniele De Martino

In this work it is shown that scale free tails in metabolic flux distributions inferred from realistic large scale models can be simply an artefact due to reactions involved in the…

q-bio.MN2017★ 22 cited

Quantifying the entropic cost of cellular growth control

Daniele De Martino, Fabrizio Capuani, Andrea De Martino

We quantify the amount of regulation required to control growth in living cells by a Maximum Entropy approach to the space of underlying metabolic states described by genome-scale…