Evidence map›Paper›PMID 17208985›Full record

ArticleBiophysical journal2007

Thermodynamically feasible kinetic models of reaction networks.

Michael Ederer, Ernst Dieter Gilles

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Sensitivity analysis of biochemical systems using bond graphs.Journal of the Royal Society, Interface · 2023
    Article
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  9. Analysing and simulating energy-based models in biology using BondGraphTools.The European physical journal. E, Soft matter · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Interrogating metabolism as an electron flow system.Current opinion in systems biology · 2019
    Review
  14. Necessary and sufficient conditions for protocell growth.Journal of mathematical biology · 2016
    Article
  15. Article
  16. Chemical Schemes for Maintaining Different Compositions Across a Semi-permeable Membrane with Application to Proto-cells.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2015
    Article
  17. Article
  18. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michael EdererMax Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. ederer@mpi-magdeburg.mpg.de
Ernst Dieter Gilles

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of biological reaction networks are strongly constrained by thermodynamics. An holistic understanding of their behavior and regulation requires mathematical models that observe these constraints. However, kinetic models may easily violate the constraints imposed by the principle of detailed balance, if no special care is taken. Detailed balance demands that in thermodynamic equilibrium all fluxes vanish. We introduce a thermodynamic-kinetic modeling (TKM) formalism that adapts the concepts of potentials and forces from irreversible thermodynamics to kinetic modeling. In the proposed formalism, the thermokinetic potential of a compound is proportional to its concentration. The proportionality factor is a compound-specific parameter called capacity. The thermokinetic force of a reaction is a function of the potentials. Every reaction has a resistance that is the ratio of thermokinetic force and reaction rate. For mass-action type kinetics, the resistances are constant. Since it relies on the thermodynamic concept of potentials and forces, the TKM formalism structurally observes detailed balance for all values of capacities and resistances. Thus, it provides an easy way to formulate physically feasible, kinetic models of biological reaction networks. The TKM formalism is useful for modeling large biological networks that are subject to many detailed balance relations.

Indexed as

Cell Physiological PhenomenaModels, BiologicalModels, ChemicalComputer SimulationEnergy TransferFeasibility StudiesKineticsSignal TransductionThermodynamics

Identifiers

PMID17208985
PMCPMC1861785

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.