Evidence map›Paper›PMID 21081060›Full record

ArticleBiophysical journal2010

Thermodynamic calculations for biochemical transport and reaction processes in metabolic networks.

Stefan J Jol, Anne Kümmel, Vassily Hatzimanikatis, Daniel A Beard, Matthias Heinemann

Abstract read
In one paragraph

Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Redox controls metabolic robustness in the gas-fermenting acetogenProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. Anaplerotic Pathways inFrontiers in microbiology · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

5 authors.

Stefan J JolETH Zurich, Zurich, Switzerland.
Anne Kümmel
Vassily Hatzimanikatis
Daniel A Beard
Matthias Heinemann

Funding

Integrated Modeling of Cardiac Metabolism and TransportR01HL072011 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2004 to 2016
$4.0M
NHLBI NIH HHS HL072011NHLBI NIH HHS R01 HL072011
6 · The paper itself

Abstract

Thermodynamic analysis of metabolic networks has recently generated increasing interest for its ability to add constraints on metabolic network operation, and to combine metabolic fluxes and metabolite measurements in a mechanistic manner. Concepts for the calculation of the change in Gibbs energy of biochemical reactions have long been established. However, a concept for incorporation of cross-membrane transport in these calculations is still missing, although the theory for calculating thermodynamic properties of transport processes is long known. Here, we have developed two equivalent equations to calculate the change in Gibbs energy of combined transport and reaction processes based on two different ways of treating biochemical thermodynamics. We illustrate the need for these equations by showing that in some cases there is a significant difference between the proposed correct calculation and using an approximative method. With the developed equations, thermodynamic analysis of metabolic networks spanning over multiple physical compartments can now be correctly described.

Indexed as

Metabolic Networks and PathwaysAdenosine TriphosphatasesBiological TransportCell CompartmentationHydrogen-Ion ConcentrationProtonsSuccinatesThermodynamicsAdenosine TriphosphatasesProtonsSuccinates

Identifiers

PMID21081060
PMCPMC2980713

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.