Evidence map›Paper›PMID 26370505›Full record

ArticleProteins2016

Integration of QUARK and I-TASSER for Ab Initio Protein Structure Prediction in CASP11.

Wenxuan Zhang, Jianyi Yang, Baoji He, Sara Elizabeth Walker, Hongjiu Zhang, Brandon Govindarajoo, Jouko Virtanen, Zhidong Xue, Hong-Bin Shen, Yang Zhang

Abstract read
In one paragraph

Article in Proteins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
  7. Biomarkers andAnimals : an open access journal from MDPI · 2022
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  9. A Deep-Learning Proteomic-Scale Approach for Drug Design.Pharmaceuticals (Basel, Switzerland) · 2021
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  10. A NovelBiology · 2021
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  11. Article
  12. Article
  13. Review
  14. Cryo-EM structures of engineered active bcNature communications · 2021
    Article
  15. Article
  16. Article
  17. Computational Analysis ofCancer informatics · 2020
    Article
  18. Article
  19. Review
  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

10 authors.

Wenxuan ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Jianyi YangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Baoji HeDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Sara Elizabeth WalkerDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Hongjiu ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Brandon GovindarajooDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Jouko VirtanenDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Zhidong XueDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Hong-Bin ShenDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Yang ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109. zhng@umich.edu.

Funding

University of Michigan Postbaccalaureate Research Education Program (UM PREP)R25GM086262 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALLEN, BENJAMIN · 2009 to 2024
$6.1M
I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Template-based docking refinement approach to protein-protein structure modelingR01GM116960 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2016 to 2019
$1.4M
Atomic-level, large-scale structure prediction of G protein-coupled receptorsR01GM084222 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2009 to 2012
$1.3M
NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222NIGMS NIH HHS R01 GM116960NIGMS NIH HHS R25 GM086262
6 · The paper itself

Abstract

We tested two pipelines developed for template-free protein structure prediction in the CASP11 experiment. First, the QUARK pipeline constructs structure models by reassembling fragments of continuously distributed lengths excised from unrelated proteins. Five free-modeling (FM) targets have the model successfully constructed by QUARK with a TM-score above 0.4, including the first model of T0837-D1, which has a TM-score = 0.736 and RMSD = 2.9 Å to the native. Detailed analysis showed that the success is partly attributed to the high-resolution contact map prediction derived from fragment-based distance-profiles, which are mainly located between regular secondary structure elements and loops/turns and help guide the orientation of secondary structure assembly. In the Zhang-Server pipeline, weakly scoring threading templates are re-ordered by the structural similarity to the ab initio folding models, which are then reassembled by I-TASSER based structure assembly simulations; 60% more domains with length up to 204 residues, compared to the QUARK pipeline, were successfully modeled by the I-TASSER pipeline with a TM-score above 0.4. The robustness of the I-TASSER pipeline can stem from the composite fragment-assembly simulations that combine structures from both ab initio folding and threading template refinements. Despite the promising cases, challenges still exist in long-range beta-strand folding, domain parsing, and the uncertainty of secondary structure prediction; the latter of which was found to affect nearly all aspects of FM structure predictions, from fragment identification, target classification, structure assembly, to final model selection. Significant efforts are needed to solve these problems before real progress on FM could be made. Proteins 2016; 84(Suppl 1):76-86. © 2015 Wiley Periodicals, Inc.

Indexed as

Models, MolecularModels, StatisticalSoftwareAlgorithmsAmino Acid SequenceBacteriaBacterial ProteinsComputational BiologyComputer SimulationDatabases, ProteinHumansInternational CooperationProtein FoldingProtein Interaction Domains and MotifsProtein Structure, SecondarySequence AlignmentBacterial Proteinsab initio foldingCASP11I-TASSERprotein structure predictionQUARK

Identifiers

PMID26370505
PMCPMC4792809

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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.