{"year":"2017","page":"062419","type":"journal_article","article_processing_charge":"No","ec_funded":1,"date_updated":"2023-09-22T09:59:01Z","department":[{"_id":"GaTk"}],"publication_status":"published","publisher":"American Institute of Physics","oa":1,"quality_controlled":"1","language":[{"iso":"eng"}],"project":[{"grant_number":"291734","name":"International IST Postdoc Fellowship Programme","call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","date_published":"2017-06-28T00:00:00Z","publist_id":"6446","external_id":{"isi":["000404546400004"]},"status":"public","oa_version":"Submitted Version","_id":"959","publication":" Physical Review E Statistical Nonlinear and Soft Matter Physics ","volume":95,"abstract":[{"text":"In this work it is shown that scale-free tails in metabolic flux distributions inferred in stationary models are an artifact due to reactions involved in thermodynamically unfeasible cycles, unbounded by physical constraints and in principle able to perform work without expenditure of free energy. After implementing thermodynamic constraints by removing such loops, metabolic flux distributions scale meaningfully with the physical limiting factors, acquiring in turn a richer multimodal structure potentially leading to symmetry breaking while optimizing for objective functions.","lang":"eng"}],"doi":"10.1103/PhysRevE.95.062419","month":"06","publication_identifier":{"issn":["24700045"]},"isi":1,"main_file_link":[{"url":"https://arxiv.org/pdf/1703.00853.pdf","open_access":"1"}],"day":"28","title":"Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics","author":[{"first_name":"Daniele","orcid":"0000-0002-5214-4706","last_name":"De Martino","full_name":"De Martino, Daniele","id":"3FF5848A-F248-11E8-B48F-1D18A9856A87"}],"date_created":"2018-12-11T11:49:25Z","intvolume":"        95","scopus_import":"1","citation":{"ama":"De Martino D. Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. <i> Physical Review E Statistical Nonlinear and Soft Matter Physics </i>. 2017;95(6):062419. doi:<a href=\"https://doi.org/10.1103/PhysRevE.95.062419\">10.1103/PhysRevE.95.062419</a>","ista":"De Martino D. 2017. Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics.  Physical Review E Statistical Nonlinear and Soft Matter Physics . 95(6), 062419.","short":"D. De Martino,  Physical Review E Statistical Nonlinear and Soft Matter Physics  95 (2017) 062419.","chicago":"De Martino, Daniele. “Scales and Multimodal Flux Distributions in Stationary Metabolic Network Models via Thermodynamics.” <i> Physical Review E Statistical Nonlinear and Soft Matter Physics </i>. American Institute of Physics, 2017. <a href=\"https://doi.org/10.1103/PhysRevE.95.062419\">https://doi.org/10.1103/PhysRevE.95.062419</a>.","mla":"De Martino, Daniele. “Scales and Multimodal Flux Distributions in Stationary Metabolic Network Models via Thermodynamics.” <i> Physical Review E Statistical Nonlinear and Soft Matter Physics </i>, vol. 95, no. 6, American Institute of Physics, 2017, p. 062419, doi:<a href=\"https://doi.org/10.1103/PhysRevE.95.062419\">10.1103/PhysRevE.95.062419</a>.","apa":"De Martino, D. (2017). Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. <i> Physical Review E Statistical Nonlinear and Soft Matter Physics </i>. American Institute of Physics. <a href=\"https://doi.org/10.1103/PhysRevE.95.062419\">https://doi.org/10.1103/PhysRevE.95.062419</a>","ieee":"D. De Martino, “Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics,” <i> Physical Review E Statistical Nonlinear and Soft Matter Physics </i>, vol. 95, no. 6. American Institute of Physics, p. 062419, 2017."},"issue":"6"}