Evidence map›Paper›PMID 21928322›Full record

ArticleProteins2011

Evaluation of residue-residue contact predictions in CASP9.

Bohdan Monastyrskyy, Krzysztof Fidelis, Anna Tramontano, Andriy Kryshtafovych

Abstract readEvaluation Study
In one paragraph

Article in Proteins, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method.Journal of computational biology : a journal of computational molecular cell biology · 2017
    Article
  11. Assessing Predicted Contacts for Building Protein Three-Dimensional Models.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  12. Article
  13. Article
  14. Protein Residue Contacts and Prediction Methods.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Sequence-based Gaussian network model for protein dynamics.Bioinformatics (Oxford, England) · 2014
    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

4 authors.

Bohdan MonastyrskyyGenome Center, University of California-Davis, 451 Health Sciences Drive, Davis, CA 95616, USA
Krzysztof Fidelis
Anna Tramontano
Andriy Kryshtafovych

Funding

Prospective analysis to determine model accuracy performance and boundaries in the post-AlphaFold2 environmentR01GM100482 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIDELIS, KRZYSZTOF A · 2012 to 2025
$11.1M
Platform for Physics-Based Methods in CASP (Comp. Rev. to LM007085)P41LM007085 · NLM · UNIVERSITY OF CALIFORNIA DAVIS · PI FIDELIS, KRZYSZTOF A · 2001 to 2011
$6.5M
NIGMS NIH HHS R01 GM100482NLM NIH HHS LM007085NLM NIH HHS P41 LM007085
6 · The paper itself

Abstract

This work presents the results of the assessment of the intramolecular residue-residue contact predictions submitted to CASP9. The methodology for the assessment does not differ from that used in previous CASPs, with two basic evaluation measures being the precision in recognizing contacts and the difference between the distribution of distances in the subset of predicted contact pairs versus all pairs of residues in the structure. The emphasis is placed on the prediction of long-range contacts (i.e., contacts between residues separated by at least 24 residues along sequence) in target proteins that cannot be easily modeled by homology. Although there is considerable activity in the field, the current analysis reports no discernable progress since CASP8.

Indexed as

Models, MolecularComputational BiologyProtein ConformationProteinsSoftwareProteins

Identifiers

PMID21928322
PMCPMC3226919

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Registered trials

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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.