Evidence map›Paper›PMID 38747341›Full record

ArticleNucleic acids research2024

AlphaFind: discover structure similarity across the proteome in AlphaFold DB.

David Procházka, Terézia Slanináková, Jaroslav Olha, Adrián Rošinec, Katarína Grešová, Miriama Jánošová, Jakub Čillík, Jana Porubská, Radka Svobodová, Vlastislav Dohnal and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. MolViewStories: Interactive molecular storytelling.Protein science : a publication of the Protein Society · 2026
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  3. Article
  4. 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

11 authors.

David ProcházkaFaculty of Informatics, Masaryk University, Botanická 68A, Brno 60200, Czech Republic.ORCID 0009-0000-2765-8329
Terézia SlaninákováFaculty of Informatics, Masaryk University, Botanická 68A, Brno 60200, Czech Republic.ORCID 0000-0003-0502-1145
Jaroslav OlhaFaculty of Informatics, Masaryk University, Botanická 68A, Brno 60200, Czech Republic.ORCID 0000-0003-1824-468X
Adrián RošinecInstitute of Computer Science, Masaryk University, Šumavská 416/15, Brno 60200, Czech Republic.ORCID 0000-0002-7748-5590
Katarína GrešováNational Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 5, Brno 62500, Czech Republic.ORCID 0000-0002-1136-0832
Miriama JánošováFaculty of Informatics, Masaryk University, Botanická 68A, Brno 60200, Czech Republic.
Jakub ČillíkInstitute of Computer Science, Masaryk University, Šumavská 416/15, Brno 60200, Czech Republic.ORCID 0009-0001-7780-3317
Jana PorubskáBiological Data Management and Analysis Core Facility, CEITEC-Central European Institute of Technology, Masaryk University, Studentská, Brno 62500, Czech Republic.ORCID 0009-0003-7074-4638
Radka SvobodováBiological Data Management and Analysis Core Facility, CEITEC-Central European Institute of Technology, Masaryk University, Studentská, Brno 62500, Czech Republic.ORCID 0000-0002-3840-8760
Vlastislav DohnalFaculty of Informatics, Masaryk University, Botanická 68A, Brno 60200, Czech Republic.ORCID 0000-0001-7768-7435
Matej AntolFaculty of Informatics, Masaryk University, Botanická 68A, Brno 60200, Czech Republic.ORCID 0000-0002-1380-5647

Funding

Czech Science Foundation GF23-07040KMasaryk UniversityMinistry of Education LM2023055Oxford University PressYouth and Sports of the Czech Republic 90254
6 · The paper itself

Abstract

AlphaFind is a web-based search engine that provides fast structure-based retrieval in the entire set of AlphaFold DB structures. Unlike other protein processing tools, AlphaFind is focused entirely on tertiary structure, automatically extracting the main 3D features of each protein chain and using a machine learning model to find the most similar structures. This indexing approach and the 3D feature extraction method used by AlphaFind have both demonstrated remarkable scalability to large datasets as well as to large protein structures. The web application itself has been designed with a focus on clarity and ease of use. The searcher accepts any valid UniProt ID, Protein Data Bank ID or gene symbol as input, and returns a set of similar protein chains from AlphaFold DB, including various similarity metrics between the query and each of the retrieved results. In addition to the main search functionality, the application provides 3D visualizations of protein structure superpositions in order to allow researchers to instantly analyze the structural similarity of the retrieved results. The AlphaFind web application is available online for free and without any registration at https://alphafind.fi.muni.cz.

Indexed as

Databases, ProteinProteomeSoftwareInternetMachine LearningModels, MolecularProtein ConformationProtein FoldingProteinsSearch EngineStructural Homology, ProteinProteinsProteome

Identifiers

PMID38747341
PMCPMC11223785

What OpenQuestion holds

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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.