Evidence map›Paper›PMID 19307237›Full record

ArticleBioinformatics (Oxford, England)2009

Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates.

R Matthew Ward, Eric Venner, Bryce Daines, Stephen Murray, Serkan Erdin, David M Kristensen, Olivier Lichtarge

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Capturing the geometry, function, and evolution of enzymes with 3D templates.Protein science : a publication of the Protein Society · 2022
    Review
  4. PANNZER-A practical tool for protein function prediction.Protein science : a publication of the Protein Society · 2022
    Article
  5. Review
  6. Article
  7. Structure prediction of partial-length protein sequences.International journal of molecular sciences · 2013
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Evolution: a guide to perturb protein function and networks.Current opinion in structural biology · 2010
    Review
  19. Evolution-guided discovery and recoding of allosteric pathway specificity determinants in psychoactive bioamine receptors.Proceedings of the National Academy of Sciences of the United States of America · 2010
    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

7 authors.

R Matthew WardDepartment of Molecular and Human Genetics, Program in Structural and Computational Biology and Molecular, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
Eric Venner
Bryce Daines
Stephen Murray
Serkan Erdin
David M Kristensen
Olivier Lichtarge

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Functional Determinnats in G Protein-coupled ReceptorsR01GM066099 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2003 to 2022
$7.5M
Comparative genomics of protein structure and functionR01GM079656 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2007 to 2019
$4.3M
NIGMS NIH HHS R01 GM066099NIGMS NIH HHS R01-GM066099NIGMS NIH HHS R01 GM079656NIGMS NIH HHS R01-GM079656NLM NIH HHS 5 T15 LM07093NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

summaryThe Evolutionary Trace Annotation (ETA) Server predicts enzymatic activity. ETA starts with a structure of unknown function, such as those from structural genomics, and with no prior knowledge of its mechanism uses the phylogenetic Evolutionary Trace (ET) method to extract key functional residues and propose a function-associated 3D motif, called a 3D template. ETA then searches previously annotated structures for geometric template matches that suggest molecular and thus functional mimicry. In order to maximize the predictive value of these matches, ETA next applies distinctive specificity filters -- evolutionary similarity, function plurality and match reciprocity. In large scale controls on enzymes, prediction coverage is 43% but the positive predictive value rises to 92%, thus minimizing false annotations. Users may modify any search parameter, including the template. ETA thus expands the ET suite for protein structure annotation, and can contribute to the annotation efforts of metaservers. AVAILABILITY: The ETA Server is a web application available at (http://mammoth.bcm.tmc.edu/eta/).

Indexed as

Computational BiologyDatabases, ProteinEnzymesEvolution, MolecularInternetPhylogenyProtein ConformationProteinsSoftwareEnzymesProteins

Identifiers

PMID19307237
PMCPMC2682511

What OpenQuestion holds

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LicenceCC BY-NC
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.