ArticleScientific reports2017
Rate of entropy model for irreversible processes in living systems.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Arrow of Time, Entropy, and Protein Folding: Holistic View on Biochirality.International journal of molecular sciences · 2022Review
- The Use of the Statistical Entropy in Some New Approaches for the Description of Biosystems.Entropy (Basel, Switzerland) · 2022Article
- Entropy for the Brain and Applied Computation.Entropy (Basel, Switzerland) · 2021Article
- Resting Heartbeat Complexity Predicts All-Cause and Cardiorespiratory Mortality in Middle- to Older-Aged Adults From the UK Biobank.Journal of the American Heart Association · 2021Article
- Optimizing Our Patients' Entropy Production as Therapy? Hypotheses Originating from the Physics of Physiology.Entropy (Basel, Switzerland) · 2020Article
- Environmental Response of 2D Thermal Cloak under Dynamic External Temperature Field.Entropy (Basel, Switzerland) · 2020Article
- Entropy Density Acceleration and Minimum Dissipation Principle: Correlation with Heat and Matter Transfer in Glucose Catabolism.Entropy (Basel, Switzerland) · 2018Article
- An Apoptotic and Endosymbiotic Explanation of the Warburg and the Inverse Warburg Hypotheses.International journal of molecular sciences · 2018Review
- Reaction and diffusion thermodynamics explain optimal temperatures of biochemical reactions.Scientific reports · 2018Article
- Effect of Indolic-Amide Melatonin on Blood Cell Population: A Biophysical Gaussian Statistical Analysis.Molecules (Basel, Switzerland) · 2018Article
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4 authors.
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Abstract
In living systems, it is crucial to study the exchange of entropy that plays a fundamental role in the understanding of irreversible chemical reactions. However, there are not yet works able to describe in a systematic way the rate of entropy production associated to irreversible processes. Hence, here we develop a theoretical model to compute the rate of entropy in the minimum living system. In particular, we apply the model to the most interesting and relevant case of metabolic network, the glucose catabolism in normal and cancer cells. We show, (i) the rate of internal entropy is mainly due to irreversible chemical reactions, and (ii) the rate of external entropy is mostly correlated to the heat flow towards the intercellular environment. The future applications of our model could be of fundamental importance for a more complete understanding of self-renewal and physiopatologic processes and could potentially be a support for cancer detection.
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