Evidence map›Paper›PMID 22936779›Full record

ArticleScience (New York, N.Y.)2012

Network context and selection in the evolution to enzyme specificity.

Hojung Nam, Nathan E Lewis, Joshua A Lerman, Dae-Hee Lee, Roger L Chang, Donghyuk Kim, Bernhard O Palsson

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing 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

125 citing papers in PubMed.

  1. Journal of chemical information and modeling · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Exponential crystallization in corals.Nature communications · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Multisubstrate specificity shaped the complex evolution of the aminotransferase family across the tree of life.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

65 more citing papers are in PubMed but not listed here.

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

7 authors.

Hojung NamDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093-0412, USA.
Nathan E Lewis
Joshua A Lerman
Dae-Hee Lee
Roger L Chang
Donghyuk Kim
Bernhard O Palsson

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
NIGMS NIH HHS 2R01GM057089-13NIGMS NIH HHS R01 GM057089
6 · The paper itself

Abstract

Enzymes are thought to have evolved highly specific catalytic activities from promiscuous ancestral proteins. By analyzing a genome-scale model of Escherichia coli metabolism, we found that 37% of its enzymes act on a variety of substrates and catalyze 65% of the known metabolic reactions. However, it is not apparent why these generalist enzymes remain. Here, we show that there are marked differences between generalist enzymes and specialist enzymes, known to catalyze a single chemical reaction on one particular substrate in vivo. Specialist enzymes (i) are frequently essential, (ii) maintain higher metabolic flux, and (iii) require more regulation of enzyme activity to control metabolic flux in dynamic environments than do generalist enzymes. Furthermore, these properties are conserved in Archaea and Eukarya. Thus, the metabolic network context and environmental conditions influence enzyme evolution toward high specificity.

Indexed as

Evolution, MolecularMetabolic Networks and PathwaysSelection, GeneticCatalysisComputational BiologyEnzymesEscherichia coliSubstrate SpecificityEnzymes

Identifiers

PMID22936779
PMCPMC3536066

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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.