Evidence map›Paper›PMID 21179190›Full record

ArticlePloS one2010

Accurate protein structure annotation through competitive diffusion of enzymatic functions over a network of local evolutionary similarities.

Eric Venner, Andreas Martin Lisewski, Serkan Erdin, R Matthew Ward, Shivas R Amin, Olivier Lichtarge

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Variants inGenes & diseases · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Prediction and experimental validation of enzyme substrate specificity in protein structures.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. The use of evolutionary patterns in protein annotation.Current opinion in structural biology · 2012
    Review
  12. Article
  13. Evolutionary trace for prediction and redesign of protein functional sites.Methods in molecular biology (Clifton, N.J.) · 2012
    Article
  14. Review
  15. Prediction and redesign of protein-protein interactions.Progress in biophysics and molecular biology
    Review
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

6 authors.

Eric VennerDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America.
Andreas Martin Lisewski
Serkan Erdin
R Matthew Ward
Shivas R Amin
Olivier Lichtarge

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Research Education and Career Horizons ProgramK12GM084897 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI SIFERS, RICHARD NORMAN, SLAUGHTER, GAYLE · 2008 to 2016
$8.3M
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
Training in Biomedical Discovery from Large Scale Data SetsT90DA022885 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI PALZKILL, TIMOTHY · 2006 to 2009
$635k
Training in Biomedical Discovery from Large Scale Data SetsR90DA023418 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI PALZKILL, TIMOTHY · 2006 to 2009
$582k
NIDA NIH HHS R90 DA023418NIDA NIH HHS T90 DA022885NIGMS NIH HHS GM066099NIGMS NIH HHS GM079656NIGMS NIH HHS K12 GM084897NIGMS NIH HHS R01 GM066099NIGMS NIH HHS R01 GM079656NLM NIH HHS 5T15LM07093NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

High-throughput Structural Genomics yields many new protein structures without known molecular function. This study aims to uncover these missing annotations by globally comparing select functional residues across the structural proteome. First, Evolutionary Trace Annotation, or ETA, identifies which proteins have local evolutionary and structural features in common; next, these proteins are linked together into a proteomic network of ETA similarities; then, starting from proteins with known functions, competing functional labels diffuse link-by-link over the entire network. Every node is thus assigned a likelihood z-score for every function, and the most significant one at each node wins and defines its annotation. In high-throughput controls, this competitive diffusion process recovered enzyme activity annotations with 99% and 97% accuracy at half-coverage for the third and fourth Enzyme Commission (EC) levels, respectively. This corresponds to false positive rates 4-fold lower than nearest-neighbor and 5-fold lower than sequence-based annotations. In practice, experimental validation of the predicted carboxylesterase activity in a protein from Staphylococcus aureus illustrated the effectiveness of this approach in the context of an increasingly drug-resistant microbe. This study further links molecular function to a small number of evolutionarily important residues recognizable by Evolutionary Tracing and it points to the specificity and sensitivity of functional annotation by competitive global network diffusion. A web server is at http://mammoth.bcm.tmc.edu/networks.

Indexed as

AlgorithmsBiochemistryCloning, MolecularCluster AnalysisCohort StudiesDatabases, ProteinEvolution, MolecularGenomicsLikelihood FunctionsModels, GeneticModels, StatisticalProteinsProteomicsReproducibility of ResultsStaphylococcus aureusProteins

Identifiers

PMID21179190
PMCPMC3001439

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.