MMseqs2

Very fast sequence search and clustering, the MSA engine behind ColabFold.

Developer: Steinegger and Söding labs

Commercial use OKFree for commercial use

Overview

Developer
Steinegger and Söding labs
Commercial rights
Commercial OK
Commercial cost
Free commercially
Compute
CPU
Open weights
Yes
Last verified

Capabilities

Sequence search and clustering at scale. Input: query and target FASTA/databases; output: homology hits, clusters and MSA profiles in minutes where BLAST takes days - the MSA engine behind ColabFold.

When to use it

Use to build your own MSAs or cluster large sequence sets locally instead of hitting public servers. Needs lots of RAM and disk for big databases.

Input / Output

Input
query and target FASTA/databases
Output
homology hits, clusters and MSA profiles in minutes where BLAST takes days - the MSA engine behind ColabFold

Compute

CPU. Other tools with this compute profile →

Commercial Licensing

Commercial rights — may a company use it?

Commercial use OK

Licence as writtenMIT License

LICENSE.md in the repo is 'The MIT License (MIT)'.

The licence read at the source allows use by a company. Attribution or copyleft conditions may still apply — read the note.

Commercial cost — is commercial use free of charge?

Free for commercial use

Nothing to pay: the licence read at the source grants commercial use with no fee, and the code and weights are public downloads. You still pay for your own compute.

Price and rights are separate: this panel is about money, the panel above is about permission.

  • Commercial OK ≠ Free of charge. A tool can be licensed for company use and still need a paid licence for a dependency (BindCraft → PyRosetta).
  • Free download ≠ Commercially licensed. Weights you can download at no cost may still forbid commercial use (AlphaFold 3).
  • Unverified ≠ Commercially permitted. If no published statement settles it, treat it as unknown — not as a yes.
  • Every component counts. Each status considers the code licence, the model-weights terms, required dependencies and any terms of use.

Model Weights

Open weights. A separate weights licence is Not documented as its own field; where weights carry different terms from the code, that is stated in the licence explanation above.

Dependencies

Not documented as a separate field. Any dependency that affects commercial use (for example a paid PyRosetta licence) is named in the licence and cost explanations above.

Official References

Official site / repo
github.com/soedinglab/MMseqs2

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