Evidence map›Paper›PMID 22052908›Full record

ArticleThe Journal of biological chemistry2011

Origins of specificity and promiscuity in metabolic networks.

Pablo Carbonell, Guillaume Lecointre, Jean-Loup Faulon

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Building Molecules by a Self-Replicator That Catalyzes Acyl Hydrazone Formation.Angewandte Chemie (International ed. in English) · 2026
    Article
  3. Before LUCA: unearthing the chemical roots of metabolism.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
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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

3 authors.

Pablo CarbonellInstitute of Systems and Synthetic Biology, University of Evry, 91030 Evry, France.
Guillaume LecointreUMR 7138 Systématique Adaptation Evolution, Département Systématique et Evolution, Muséum National d'Histoire Naturelle, 75005 Paris, France.
Jean-Loup FaulonInstitute of Systems and Synthetic Biology, University of Evry, 91030 Evry, France. Electronic address: jean-loup.faulon@issb.genopole.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How enzymes have evolved to their present form is linked to the question of how pathways emerged and evolved into extant metabolic networks. To investigate this mechanism, we have explored the chemical diversity present in a largely unbiased data set of catalytic reactions processed by modern enzymes across the tree of life. In order to get a quantitative estimate of enzyme chemical diversity, we measure enzyme multispecificity or promiscuity using the reaction molecular signatures. Our main finding is that reactions that are catalyzed by a highly specific enzyme are shared by poorly divergent species, suggesting a later emergence of this function during evolution. In contrast, reactions that are catalyzed by highly promiscuous enzymes are more likely to appear uniformly distributed across species in the tree of life. From a functional point of view, promiscuous enzymes are mainly involved in amino acid and lipid metabolisms, which might be associated with the earliest form of biochemical reactions. In this way, results presented in this paper might assist us with the identification of primeval promiscuous catalytic functions contributing to life's minimal metabolism.

Indexed as

Metabolic Networks and PathwaysAnimalsBiochemistryCatalysisComputational BiologyComputersEnzymesEvolution, MolecularLipid MetabolismModels, StatisticalPhylogenyProtein Structure, TertiarySoftwareSubstrate SpecificityEnzymes

Identifiers

PMID22052908
PMCPMC3243566

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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.