Evidence map›Paper›PMID 42249130›Full record

ArticleNature biotechnology2026

Structural motif search across the protein universe with Folddisco.

Hyunbin Kim, Rachel Seongeun Kim, Milot Mirdita, Jaewon Yoon, Martin Steinegger

Abstract read
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In one paragraph

Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Investigating enzyme function by geometric matching of catalytic motifs.Protein science : a publication of the Protein Society · 2026
    Article
  2. Article
  3. Zero-shot design of abioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. 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

5 authors.

Hyunbin KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4662-3943
Rachel Seongeun KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0001-2218-5419
Milot MirditaSchool of Biological Sciences, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-8637-6719
Jaewon YoonSchool of Biological Sciences, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0000-3906-2143
Martin SteineggerInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea. martin.steinegger@snu.ac.kr.ORCID http://orcid.org/0000-0001-8781-9753

Funding

National Research Foundation of Korea (NRF) 2020M3-A9G7-103933National Research Foundation of Korea (NRF) RS-2020-NR049543National Research Foundation of Korea (NRF) RS-2021-NR056571National Research Foundation of Korea (NRF) RS-2021-NR061659National Research Foundation of Korea (NRF) RS-2023-00250470National Research Foundation of Korea (NRF) RS-2024-00396026National Research Foundation of Korea (NRF) RS-2025-25405694Novo Nordisk Fonden (Novo Nordisk Foundation) NNF24SA0092560
6 · The paper itself

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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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.