Author

Fabrizio Capuani

Istituto Nazionale di Fisica NucleareORCID 0000-0003-2026-6335Unclaimed ORCID profile · follow to get notified of new preprints

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Systems Biology· 1

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Organism:E. coli· 1 Organism:human· 1 Approach:statistical model· 1

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Andrea De MartinoiD· 1 shared Daniele De MartinoiD· 1 shared

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Systems BiologyPhysical review. EPeer-reviewedJul 10, 2017

Quantifying the entropic cost of cellular growth control

Daniele De Martino, Fabrizio Capuani, Andrea De Martino

This study quantifies the regulatory cost of cellular growth control using a Maximum Entropy approach in E. coli and human cells, showing different regulatory strategies and linking inverse temperature to growth dynamics.

22 citations

E. colihuman

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