CITATION.cff

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cff-version: 1.2.0
title: AlphaFind
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Terézia
    family-names: Slanináková
    email: slaninakova@ics.muni.cz
    affiliation: >-
      Institute of Computer Science, Masaryk University,
      Brno, 602 00, Czech Republic
    orcid: 'https://orcid.org/0000-0003-0502-1145'
    credit: 0.4
  - given-names: David
    family-names: Procházka
    email: davidprochazka@mail.muni.cz
    orcid: 'https://orcid.org/0009-0000-2765-8329'
    affiliation: >-
      Faculty of Informatics, Masaryk University, Brno, 602
      00, Czech Republic
    credit: 0.4
  - given-names: Jakub
    family-names: Čillík
    email: 524749@mail.muni.cz
    affiliation: >-
      Institute of Computer Science, Masaryk University,
      Brno, 602 00, Czech Republic
    orcid: 'https://orcid.org/0009-0001-7780-3317'
    credit: 0.2
identifiers:
  - type: doi
    value: 10.5281/zenodo.11085862
  - type: url
    value: 'https://alphafind.fi.muni.cz/'
  - type: url
    value: 'https://github.com/Coda-Research-Group/AlphaFind/'
repository-code: 'https://github.com/Coda-Research-Group/AlphaFind/'
url: 'https://alphafind.fi.muni.cz/'
repository-artifact: >-
  https://data.narodni-repozitar.cz/general/datasets/egsm2-7a369
abstract: >-
  AlphaFind is a web-based search engine that allows for
  structure-based search of the entire AlphaFold Protein
  Structure Database. Uniprot ID, PDB ID, or Gene Symbol is
  accepted as input – the engine will return the most
  similar proteins found within AlphaFold DB, with an option
  for additional search to extend and refine the results.
  The search results are grouped by their source organism
  and displayed along with several similarity metrics. 3D
  visualizations of the structural superposition of the
  proteins are provided, and text filters can be used to
  find specific organisms or Uniprot IDs. For details about
  the methodology and usage, please see the manual. This
  website is free and open to all users and there is no
  login requirement.
keywords:
  - similarity search
  - protein similarity
  - AlphaFold
  - proteins
  - web application
  - AFDB
license: MIT
commit: 976511d1ad489b222346bc81e1d89ad49d388924
version: 1.0.0
date-released: '2024-04-29'