Evidence map›Paper›PMID 24343678›Full record

ArticleProteins2014

Assessment of template-free modeling in CASP10 and ROLL.

Chin-Hsien Tai, Hongjun Bai, Todd J Taylor, Byungkook Lee

Open access · greenAbstract read
In one paragraph

Article in Proteins, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 100 citations in OpenAlex.

  1. Article
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  3. VInternational journal of molecular sciences · 2022
    Review
  4. Deep learning for protein secondary structure prediction: Pre and post-AlphaFold.Computational and structural biotechnology journal · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Approaches to ab initio molecular replacement of α-helical transmembrane proteins.Acta crystallographica. Section D, Structural biology · 2017
    Article
  15. Article
  16. Protein structural motifs in prediction and design.Current opinion in structural biology · 2017
    Review
  17. 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

4 authors at 2 institutions in 1 country.

Chin-Hsien TaiLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892.
Hongjun Bai
Todd J Taylor
Byungkook Lee
National Cancer Institute · USNational Institutes of Health · US

Funding

University of Georgia ProjectU54GM094597 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ROST, BURKHARD · 2010 to 2014
$36.9M
XRAY CRYSTALLOGRAPHIC STRUCTURE ANALYSIS: PROTEIN SORTINGP41RR001081 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BABBITT, PATRICIA CLEMENT · 1985 to 2011
$17.6M
Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
Structural BioinformaticsZIABC011233 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, BYUNGKOOK · 2009 to 2015
$4.4M
MOLECULAR MODELING AND BIOINFORMATICSZ01BC008759 · NCI · BASIC SCIENCES · PI LEE, BYUNGKOOK · 1996 to 2007
$1.2M
Protein StructureZ01BC011000 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, BYUNGKOOK · 2008 to 2008
$665k
Intramural NIH HHS Z01 BC008759Intramural NIH HHS Z01 BC011000NCRR NIH HHS P41 RR001081NIGMS NIH HHS P41 GM103311NIGMS NIH HHS U54-GM094597
6 · The paper itself

Abstract

We present the assessment of predictions for Template-Free Modeling in CASP10 and a report on the first ROLL experiment wherein predictions are collected year round for review at the regular CASP season. Models were first clustered so that duplicated or very similar ones were grouped together and represented by one model in the cluster. The representatives were then compared with targets using GDT_TS, QCS, and three additional superposition-independent score functions newly developed for CASP10. For each target, the top 15 representatives by each score were pooled to form the Top15Union set. All models in this set were visually inspected by four of us independently using the new plugin, EvalScore, which we developed with the UCSF Chimera group. The best models were selected for each target after extensive debate among the four examiners. Groups were ranked by the number of targets (hits) for which a group's model was selected as one of the best models. The Keasar group had most hits in both categories, with four of 19 FM and eight of 36 ROLL targets. The most successful prediction servers were QUARK from Zhang's group for FM category with three hits and Zhang-server for the ROLL category with seven hits. As observed in CASP9, many successful groups were not true "template-free" modelers but used remote templates and/or server models to obtain their winning models. The results of the first ROLL experiment were broadly similar to those of the CASP10 FM exercise.

Indexed as

Models, MolecularProtein Structure, TertiaryCluster AnalysisComputational BiologyProteinsProteinsCASP10critical assessmentEvalScorepredictor typesprotein structure predictionROLLscore functiontemplate-free modelingTop15Union

Identifiers

PMID24343678
PMCPMC7007176
OpenAlexW2165667682

What OpenQuestion holds

Textmetadata
LicenceTDM
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.