Cited by 10Protein Structure and DynamicsEnzyme Structure and FunctionComputational Drug Discovery Methods

Structural motif search across the protein universe with Folddisco

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Kim, Hyunbin, Kim, Rachel Seongeun, Mirdita, Milot, Yoon, Jaewon, Steinegger, Martin·2026·Nature Biotechnology

Published version of a preprint

Abstract

Detecting similar protein structural motifs in large structure collections is computationally expensive. We developed Folddisco, a fast structural motif search tool that uses an index of position-independent geometric features, including side-chain orientation, combined with a rarity-based scoring system. Folddisco is 20-fold faster in querying and fourfold more storage-efficient than existing methods while improving accuracy. Folddisco is freely available online ( https://folddisco.foldseek.com ), along with a webserver ( https://search.foldseek.com/folddisco ).

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Authors
Kim, H., Kim, R. S., Mirdita, M., Yoon, J., & Steinegger, M.
Affiliations
Seoul National University (KR)
Corresponding author
Steinegger, Martin
Venue
Nature Biotechnology
Published
2026-06-05
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W4412065994
Cited by
10
References
37
Citations by year
2026: 9 · 2025: 1
FWCI
18.83
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Research Foundation of Korea (2020M3-A9G7-103933, RS-2020-NR049543, RS-2021-NR061659, RS-2021-NR056571, RS-2024-00396026, RS-2025-25405694, RS-2023-00250470)
  • Novo Nordisk Fonden (NNF24SA0092560)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
side chain orientation, protein structure database, protein structure comparison, web server

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