Evidence map›Paper›PMID 36961332›Full record

ArticleBioinformatics (Oxford, England)2023

Foldcomp: a library and format for compressing and indexing large protein structure sets.

Hyunbin Kim, Milot Mirdita, Martin Steinegger

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Systematic discovery of circular permutations across the protein universe using CIRPIN.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  8. Efficient protein structure archiving using ProteStAr.Bioinformatics (Oxford, England) · 2024
    Article
  9. Article
  10. Dual-wield NTPases: A novel protein family mined from AlphaFold DB.Protein science : a publication of the Protein Society · 2024
    Article
  11. Review
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  13. Article
  14. 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

3 authors.

Hyunbin KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, South Korea.ORCID 0000-0003-4662-3943
Milot MirditaSchool of Biological Sciences, Seoul National University, Seoul 08826, South Korea.ORCID 0000-0001-8637-6719
Martin SteineggerInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, South Korea.ORCID 0000-0001-8781-9753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryHighly accurate protein structure predictors have generated hundreds of millions of protein structures; these pose a challenge in terms of storage and processing. Here, we present Foldcomp, a novel lossy structure compression algorithm, and indexing system to address this challenge. By using a combination of internal and Cartesian coordinates and a bi-directional NeRF-based strategy, Foldcomp improves the compression ratio by a factor of three compared to the next best method. Its reconstruction error of 0.08 Å is comparable to the best lossy compressor. It is five times faster than the next fastest compressor and competes with the fastest decompressors. With its multi-threading implementation and a Python interface that allows for easy database downloads and efficient querying of protein structures by accession, Foldcomp is a powerful tool for managing and analysing large collections of protein structures. AVAILABILITY AND IMPLEMENTATION: Foldcomp is a free open-source software (GPLv3) and available for Linux, macOS, and Windows at https://foldcomp.foldseek.com. Foldcomp provides the AlphaFold Swiss-Prot (2.9GB), TrEMBL (1.1TB), and ESMatlas HQ (114GB) database ready-for-download.

Indexed as

Data CompressionSoftwareAlgorithmsGene LibraryProteinsProteins

Identifiers

PMID36961332
PMCPMC10085514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.