Evidence map›Paper›PMID 26343917›Full record

ArticleProteins2016

Template-based protein structure prediction in CASP11 and retrospect of I-TASSER in the last decade.

Jianyi Yang, Wenxuan Zhang, 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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Deep-Learning Proteomic-Scale Approach for Drug Design.Pharmaceuticals (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Deep Learning-Based Advances in Protein Structure Prediction.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Structural and functional divergence of GDAP1 from the glutathione S-transferase superfamily.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  13. Article
  14. Article
  15. Computational Analysis ofCancer informatics · 2020
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Experimental accuracy in protein structure refinement via molecular dynamics simulations.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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.

Jianyi YangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109.
Wenxuan ZhangDepartment 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 report the structure prediction results of a new composite pipeline for template-based modeling (TBM) in the 11th CASP experiment. Starting from multiple structure templates identified by LOMETS based meta-threading programs, the QUARK ab initio folding program is extended to generate initial full-length models under strong constraints from template alignments. The final atomic models are then constructed by I-TASSER based fragment reassembly simulations, followed by the fragment-guided molecular dynamic simulation and the MQAP-based model selection. It was found that the inclusion of QUARK-TBM simulations as an intermediate modeling step could help improve the quality of the I-TASSER models for both Easy and Hard TBM targets. Overall, the average TM-score of the first I-TASSER model is 12% higher than that of the best LOMETS templates, with the RMSD in the same threading-aligned regions reduced from 5.8 to 4.7 Å. Nevertheless, there are nearly 18% of TBM domains with the templates deteriorated by the structure assembly pipeline, which may be attributed to the errors of secondary structure and domain orientation predictions that propagate through and degrade the procedures of template identification and final model selections. To examine the record of progress, we made a retrospective report of the I-TASSER pipeline in the last five CASP experiments (CASP7-11). The data show no clear progress of the LOMETS threading programs over PSI-BLAST; but obvious progress on structural improvement relative to threading templates was witnessed in recent CASP experiments, which is probably attributed to the integration of the extended ab initio folding simulation with the threading assembly pipeline and the introduction of atomic-level structure refinements following the reduced modeling simulations. Proteins 2016; 84(Suppl 1):233-246. © 2015 Wiley Periodicals, Inc.

Indexed as

Models, MolecularModels, StatisticalSoftwareAlgorithmsAmino Acid SequenceComputational BiologyComputer SimulationDatabases, ProteinHumansInternetProtein FoldingProtein Interaction Domains and MotifsProteinsProtein Structure, SecondarySequence AlignmentStructural Homology, ProteinProteinsCASP11I-TASSERprotein structure predictionQUARKthreading

Identifiers

PMID26343917
PMCPMC4781680

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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.