Cited by 618Genomics and Phylogenetic StudiesAlgorithms and Data CompressionScientific Computing and Data Management

MMseqs2 desktop and local web server app for fast, interactive sequence searches

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Mirdita, Milot, Steinegger, Martin, Söding, Johannes·2019·Bioinformatics

Published version of a preprint

Abstract

Summary: The MMseqs2 desktop and web server app facilitates interactive sequence searches through custom protein sequence and profile databases on personal workstations. By eliminating MMseqs2’s runtime overhead, we reduced response times to a few seconds at sensitivities close to BLAST. Availability and implementation: The app is easy to install for non-experts. GPLv3-licensed code, pre-built desktop app packages for Windows, MacOS and Linux, Docker images for the web server application and a demo web server are available at https://search.mmseqs.com. Supplementary information: Supplementary data are available at Bioinformatics online.

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Crossref · 10.1093/bioinformatics/bty1057

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  • ColabFold's homology search is 40-60-fold faster than AlphaFold2's.

    “ColabFold’s 40−60-fold faster search and optimized model utilization enables prediction of close to 1,000 structures per day on a server with one graphics processing unit.”

    From ColabFold - Making protein folding accessible to all (2021) · cites this paper as [11]

  • Mirdita et al. improved MMseqs2 to support fast single-against-many searches.

    “Mirdita et al.11 improved it to also support fast single-against-many searches.”

    From ColabFold - Making protein folding accessible to all (2021) · cites this paper as [11]

  • The Foldseek webserver is based on the MMseqs2 webserver.

    “The Foldseek webserver is based on the MMseqs2 webserver43.”

    From Fast and accurate protein structure search with Foldseek (2024) · cites this paper as [43]

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Authors
Mirdita, M., Steinegger, M., & Söding, J.
Affiliations
  • Max Planck Institute for Biophysical Chemistry (DE)
  • Seoul National University (KR)
Corresponding author
  • Steinegger, Martin
  • Söding, Johannes
Venue
Bioinformatics
Published
2019-01-07
Volume
35
Issue
16
Pages
2856-2858
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2951149542
Cited by
618
References
11
Citations by year
2026: 98 · 2025: 112 · 2024: 156 · 2023: 109 · 2022: 104 · 2021: 23 · 2020: 14 · 2019: 2
FWCI
11.83
Type
journal article
Language
en
Open access
Locations
  • Bioinformatics (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • Seoul National University Open Repository (Seoul National University) (submittedVersion)
Funders
  • European Research Council
  • Horizon 2020 Framework Programme (Virus-X, 685778)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
Keywords
MMseqs2, protein sequence search, desktop application, web server, BLAST comparison, search response time, Docker
MeSH terms
Amino Acid Sequence, Computers, Software, Databases, Factual

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