Evidence map›Paper›PMID 35383281›Full record

ArticleCommunications biology2022

Real-time structure search and structure classification for AlphaFold protein models.

Tunde Aderinwale, Vijay Bharadwaj, Charles Christoffer, Genki Terashi, Zicong Zhang, Rashidedin Jahandideh, Yuki Kagaya, Daisuke Kihara

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Enhancing the Thermostability ofMolecules (Basel, Switzerland) · 2025
    Article
  9. Review
  10. Article
  11. PS-GO parametric protein search engine.Computational and structural biotechnology journal · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Recent Progress of Protein Tertiary Structure Prediction.Molecules (Basel, Switzerland) · 2024
    Review
  17. Article
  18. Article
  19. Is Protein BLAST a thing of the past?Nature communications · 2023
    Article
  20. 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

8 authors.

Tunde Aderinwale *Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
Vijay Bharadwaj *Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
Charles ChristofferDepartment of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.ORCID http://orcid.org/0000-0002-6163-6323
Genki TerashiDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.ORCID http://orcid.org/0000-0002-5339-909X
Zicong ZhangDepartment of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
Rashidedin JahandidehDepartment of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
Yuki KagayaDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Daisuke KiharaDepartment of Computer Science, Purdue University, West Lafayette, IN, 47907, USA. dkihara@purdue.edu.ORCID http://orcid.org/0000-0003-4091-6614

Funding

Purdue University Molecular Biophysics Training ProgramT32GM132024 · NIGMS · PURDUE UNIVERSITY · PI Angeline Marie Lyon, John Tesmer · 2019 to 2026
$2.0M
Building protein structure models for intermediate resolution cryo-electron microscopy mapsR01GM133840 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2020 to 2023
$1.6M
Structural Modeling of Multifarious Protein ComplexesR01GM123055 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM123055NIGMS NIH HHS R01 GM133840NIGMS NIH HHS T32 GM132024
6 · The paper itself

Abstract

Last year saw a breakthrough in protein structure prediction, where the AlphaFold2 method showed a substantial improvement in the modeling accuracy. Following the software release of AlphaFold2, predicted structures by AlphaFold2 for proteins in 21 species were made publicly available via the AlphaFold Database. Here, to facilitate structural analysis and application of AlphaFold2 models, we provide the infrastructure, 3D-AF-Surfer, which allows real-time structure-based search for the AlphaFold2 models. In 3D-AF-Surfer, structures are represented with 3D Zernike descriptors (3DZD), which is a rotationally invariant, mathematical representation of 3D shapes. We developed a neural network that takes 3DZDs of proteins as input and retrieves proteins of the same fold more accurately than direct comparison of 3DZDs. Using 3D-AF-Surfer, we report structure classifications of AlphaFold2 models and discuss the correlation between confidence levels of AlphaFold2 models and intrinsic disordered regions.

Indexed as

ProteinsSoftwareModels, MolecularNeural Networks, ComputerProteins

Identifiers

PMID35383281
PMCPMC8983703

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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.