Evidence map›Paper›PMID 29082551›Full record

ArticleProteins2018

Template-based and free modeling of I-TASSER and QUARK pipelines using predicted contact maps in CASP12.

Chengxin Zhang, S M Mortuza, Baoji He, Yanting Wang, Yang Zhang

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In one paragraph

Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

48 citing papers in PubMed.

  1. Article
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  6. Frontiers in endocrinology · 2023
    Article
  7. Review
  8. Review
  9. Article
  10. Article
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  12. A Deep-Learning Proteomic-Scale Approach for Drug Design.Pharmaceuticals (Basel, Switzerland) · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
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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

5 authors.

Chengxin ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.
S M MortuzaDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.
Baoji HeDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.
Yanting WangInstitute of Theoretical Physics, Chinese Academy of Sciences, Beijing, China.
Yang ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-2739-1916

Funding

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
NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM116960
6 · The paper itself

Abstract

We develop two complementary pipelines, "Zhang-Server" and "QUARK", based on I-TASSER and QUARK pipelines for template-based modeling (TBM) and free modeling (FM), and test them in the CASP12 experiment. The combination of I-TASSER and QUARK successfully folds three medium-size FM targets that have more than 150 residues, even though the interplay between the two pipelines still awaits further optimization. Newly developed sequence-based contact prediction by NeBcon plays a critical role to enhance the quality of models, particularly for FM targets, by the new pipelines. The inclusion of NeBcon predicted contacts as restraints in the QUARK simulations results in an average TM-score of 0.41 for the best in top five predicted models, which is 37% higher than that by the QUARK simulations without contacts. In particular, there are seven targets that are converted from non-foldable to foldable (TM-score >0.5) due to the use of contact restraints in the simulations. Another additional feature in the current pipelines is the local structure quality prediction by ResQ, which provides a robust residue-level modeling error estimation. Despite the success, significant challenges still remain in ab initio modeling of multi-domain proteins and folding of β-proteins with complicated topologies bound by long-range strand-strand interactions. Improvements on domain boundary and long-range contact prediction, as well as optimal use of the predicted contacts and multiple threading alignments, are critical to address these issues seen in the CASP12 experiment.

Indexed as

AlgorithmsMachine LearningModels, MolecularProtein ConformationProtein FoldingComputational BiologyCrystallography, X-RayDatabases, ProteinHumansProteinsSequence AlignmentSequence Analysis, ProteinProteinsab initio foldingCASP12contact predictionprotein structure predictionresidue quality estimationthreading

Identifiers

PMID29082551
PMCPMC5911180

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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.