Evidence map›Paper›PMID 19669489›Full record

ArticleJournal of biological physics2008

Use of game-theoretical methods in biochemistry and biophysics.

Stefan Schuster, Jan-Ulrich Kreft, Anja Schroeter, Thomas Pfeiffer

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biological physics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
22.8field-weighted citation impact, top 1% of its field
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

21 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Article
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  4. A Mutation Threshold for Cooperative Takeover.Life (Basel, Switzerland) · 2022
    Article
  5. Origin of biomolecular games: deception and molecular evolution.Journal of the Royal Society, Interface · 2018
    Article
  6. Article
  7. The prisoner's dilemma as a cancer model.Convergent science physical oncology · 2016
    Article
  8. Dynamics of prebiotic RNA reproduction illuminated by chemical game theory.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  9. 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

4 authors at 3 institutions in 3 countries.

Stefan SchusterDepartment of Bioinformatics, Friedrich Schiller University, 07743 Jena, Germany. schuster@minet.uni-jena.de
Jan-Ulrich Kreft
Anja Schroeter
Thomas Pfeiffer
Friedrich Schiller University Jena · DEEvolutionary Genomics (United States) · USUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary game theory can be considered as an extension of the theory of evolutionary optimisation in that two or more organisms (or more generally, units of replication) tend to optimise their properties in an interdependent way. Thus, the outcome of the strategy adopted by one species (e.g., as a result of mutation and selection) depends on the strategy adopted by the other species. In this review, the use of evolutionary game theory for analysing biochemical and biophysical systems is discussed. The presentation is illustrated by a number of instructive examples such as the competition between microorganisms using different metabolic pathways for adenosine triphosphate production, the secretion of extracellular enzymes, the growth of trees and photosynthesis. These examples show that, due to conflicts of interest, the global optimum (in the sense of being the best solution for the whole system) is not always obtained. For example, some yeast species use metabolic pathways that waste nutrients, and in a dense tree canopy, trees grow taller than would be optimal for biomass productivity. From the viewpoint of game theory, the examples considered can be described by the Prisoner's Dilemma, snowdrift game, Tragedy of the Commons and rock-scissors-paper game.

Identifiers

PMID19669489
PMCPMC2577752
OpenAlexW2056947236

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.