Evidence map›Paper›PMID 23413988›Full record

ArticleJournal of chemical information and modeling2013

Mapping monomeric threading to protein-protein structure prediction.

Aysam Guerler, Brandon Govindarajoo, Yang Zhang

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Methods for Molecular Modelling of Protein Complexes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
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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

3 authors.

Aysam GuerlerDepartment of Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan, 48109, United States.
Brandon Govindarajoo
Yang Zhang

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
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 GM083107NIGMS NIH HHS GM084222NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222NIGMS NIH HHS R25 GM086262
6 · The paper itself

Abstract

The key step of template-based protein-protein structure prediction is the recognition of complexes from experimental structure libraries that have similar quaternary fold. Maintaining two monomer and dimer structure libraries is however laborious, and inappropriate library construction can degrade template recognition coverage. We propose a novel strategy SPRING to identify complexes by mapping monomeric threading alignments to protein-protein interactions based on the original oligomer entries in the PDB, which does not rely on library construction and increases the efficiency and quality of complex template recognitions. SPRING is tested on 1838 nonhomologous protein complexes which can recognize correct quaternary template structures with a TM score >0.5 in 1115 cases after excluding homologous proteins. The average TM score of the first model is 60% and 17% higher than that by HHsearch and COTH, respectively, while the number of targets with an interface RMSD <2.5 Å by SPRING is 134% and 167% higher than these competing methods. SPRING is controlled with ZDOCK on 77 docking benchmark proteins. Although the relative performance of SPRING and ZDOCK depends on the level of homology filters, a combination of the two methods can result in a significantly higher model quality than ZDOCK at all homology thresholds. These data demonstrate a new efficient approach to quaternary structure recognition that is ready to use for genome-scale modeling of protein-protein interactions due to the high speed and accuracy.

Indexed as

Protein ConformationAlgorithmsBenchmarkingDatabases, ProteinDimerizationModels, MolecularProteinsSequence AlignmentSoftwareProteins

Identifiers

PMID23413988
PMCPMC4076494

What OpenQuestion holds

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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.