Evidence map›Paper›PMID 23486213›Full record

ArticleScientific reports2013

Protein structure alignment beyond spatial proximity.

Sheng Wang, Jianzhu Ma, Jian Peng, Jinbo Xu

Abstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

  1. The paraEuropean journal of pain (London, England) · 2026
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  5. PLO3S: Protein LOcal Surficial Similarity Screening.Computational and structural biotechnology journal · 2024
    Article
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  7. Benchmarking reverse docking through AlphaFold2 human proteome.Protein science : a publication of the Protein Society · 2024
    Article
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19 more citing papers are in PubMed but not listed here.

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.

Sheng WangToyota Technological Institute, Chicago, IL 60637, USA.
Jianzhu Ma
Jian Peng
Jinbo Xu

Funding

New Computational Methods for Data-driven Protein Structure PredictionR01GM089753 · NIGMS · TOYOTA TECHNOLOGICAL INSTITUTE / CHICAGO · PI XU, JINBO · 2010 to 2023
$3.8M
NIGMS NIH HHS R01 GM089753NIGMS NIH HHS R01GM089753
6 · The paper itself

Abstract

Protein structure alignment is a fundamental problem in computational structure biology. Many programs have been developed for automatic protein structure alignment, but most of them align two protein structures purely based upon geometric similarity without considering evolutionary and functional relationship. As such, these programs may generate structure alignments which are not very biologically meaningful from the evolutionary perspective. This paper presents a novel method DeepAlign for automatic pairwise protein structure alignment. DeepAlign aligns two protein structures using not only spatial proximity of equivalent residues (after rigid-body superposition), but also evolutionary relationship and hydrogen-bonding similarity. Experimental results show that DeepAlign can generate structure alignments much more consistent with manually-curated alignments than other automatic tools especially when proteins under consideration are remote homologs. These results imply that in addition to geometric similarity, evolutionary information and hydrogen-bonding similarity are essential to aligning two protein structures.

Indexed as

AlgorithmsArea Under CurveAutomationComputational BiologyDatabases, ProteinHydrogen BondingProteinsProtein Structure, TertiaryROC CurveSoftwareProteins

Identifiers

PMID23486213
PMCPMC3596798

What OpenQuestion holds

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Registered trials

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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.