Evidence map›Paper›PMID 32639954›Full record

ArticlePLoS computational biology2020

Real time structural search of the Protein Data Bank.

Dmytro Guzenko, Stephen K Burley, Jose M Duarte

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Predicting epistasis across proteins by structural logic.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Studying the Evolution of Protein Structure One Superfamily at a Time.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. PLO3S: Protein LOcal Surficial Similarity Screening.Computational and structural biotechnology journal · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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 at 2 institutions in 1 country.

Dmytro GuzenkoRCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, California, United States of America.
Stephen K BurleyRCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, California, United States of America.
Jose M DuarteRCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0002-9544-5621
San Diego Supercomputer Center · USRutgers, The State University of New Jersey · US

Funding

PDB MANAGEMENT BY THE RESEARCH COLLABORATORY FOR STRUCTURAL BIOINFORMATICSR01GM133198 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI BURLEY, STEPHEN K · 2019 to 2023
$19.3M
NIGMS NIH HHS R01 GM133198
6 · The paper itself

Abstract

Detection of protein structure similarity is a central challenge in structural bioinformatics. Comparisons are usually performed at the polypeptide chain level, however the functional form of a protein within the cell is often an oligomer. This fact, together with recent growth of oligomeric structures in the Protein Data Bank (PDB), demands more efficient approaches to oligomeric assembly alignment/retrieval. Traditional methods use atom level information, which can be complicated by the presence of topological permutations within a polypeptide chain and/or subunit rearrangements. These challenges can be overcome by comparing electron density volumes directly. But, brute force alignment of 3D data is a compute intensive search problem. We developed a 3D Zernike moment normalization procedure to orient electron density volumes and assess similarity with unprecedented speed. Similarity searching with this approach enables real-time retrieval of proteins/protein assemblies resembling a target, from PDB or user input, together with resulting alignments (http://shape.rcsb.org).

Indexed as

Databases, ProteinAlgorithmsComputational BiologyInternetModels, MolecularModels, StatisticalNormal DistributionPeptidesProtein ConformationProteinsSoftwarePeptidesProteins

Identifiers

PMID32639954
PMCPMC7371193
OpenAlexW3040969795

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.