Evidence map›Paper›PMID 21489855›Full record

ReviewCurrent opinion in chemical biology2011

Toward mechanistic classification of enzyme functions.

Daniel E Almonacid, Patricia C Babbitt

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evolutionary and molecular foundations of multiple contemporary functions of the nitroreductase superfamily.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. The evolution of enzyme function in the isomerases.Current opinion in structural biology · 2014
    Review
  14. The natural history of biocatalytic mechanisms.PLoS computational biology · 2014
    Article
  15. Review
  16. Article
  17. The Structure-Function Linkage Database.Nucleic acids research · 2014
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Daniel E AlmonacidDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, 1700 4th Street, MC 2550, San Francisco, CA 94158, USA.
Patricia C Babbitt

Funding

XRAY CRYSTALLOGRAPHIC STRUCTURE ANALYSIS: PROTEIN SORTINGP41RR001081 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 1985 to 2011
$17.6M
Laying the Foundation of Genomic EnzymologyR01GM060595 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BABBITT, PATRICIA CLEMENT · 2000 to 2018
$5.4M
NCRR NIH HHS P41 RR001081NIGMS NIH HHS GM60595NIGMS NIH HHS R01 GM060595
6 · The paper itself

Abstract

Classification of enzyme function should be quantitative, computationally accessible, and informed by sequences and structures to enable use of genomic information for functional inference and other applications. Large-scale studies have established that divergently evolved enzymes share conserved elements of structure and common mechanistic steps and that convergently evolved enzymes often converge to similar mechanisms too, suggesting that reaction mechanisms could be used to develop finer-grained functional descriptions than provided by the Enzyme Commission (EC) system currently in use. Here we describe how evolution informs these structure-function mappings and review the databases that store mechanisms of enzyme reactions along with recent developments to measure ligand and mechanistic similarities. Together, these provide a foundation for new classifications of enzyme function.

Indexed as

AlgorithmsEvolution, MolecularCatalysisDatabases, ProteinEnzymesStructure-Activity RelationshipEnzymes

Identifiers

PMID21489855
PMCPMC3551611

What OpenQuestion holds

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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.