ArticleScientific reports2023
Cells solved the Gibbs paradox by learning to contain entropic forces.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Scaling in Biological Systems: A Molecular-Ensemble Duality.bioRxiv : the preprint server for biology · 2025Article
- Stochastic force generation in an isometric binary mechanical system.The Journal of general physiology · 2024Article
- Four phases of a force transient emerge from a binary mechanical system.Journal of muscle research and cell motility · 2024Article
- Intact Transition Epitope Mapping-Force Interferences by Variable Extensions (ITEM-FIVE).Biomolecules · 2024Article
- The Problem with Inventing Molecular Mechanisms to Fit Thermodynamic Equations of Muscle.International journal of molecular sciences · 2023Article
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Abstract
As Nature's version of machine learning, evolution has solved many extraordinarily complex problems, none perhaps more remarkable than learning to harness an increase in chemical entropy (disorder) to generate directed chemical forces (order). Using muscle as a model system, here I describe the basic mechanism by which life creates order from disorder. In short, evolution tuned the physical properties of certain proteins to contain changes in chemical entropy. As it happens these are the "sensible" properties Gibbs postulated were needed to solve a paradox that has intrigued and challenged scientists and philosophers for over 100 years.
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