Proteins · Database
UniRef90 / UniRef50
Clustered UniProt protein sequences at 90% and 50% identity, supporting MSA-based folding.
What UniRef90 / UniRef50 is
UniRef90 and UniRef50 provide clustered collections of UniProt protein sequences grouped at 90% and 50% sequence identity, respectively. They organise protein sequence data into non-redundant representative sets.
Containing over 150 million sequences, the resource serves as a core sequence foundation for generating multiple sequence alignments used in protein folding workflows.
How it is organised
UniRef clusters protein sequences originating from UniProt according to predefined sequence identity thresholds of 90% and 50%.
Key facts
- Record count
- 150M+ sequences
- Category
- Protein
- Clustering levels
- 90% and 50% sequence identity
- Source database
- UniProt
What you can use it for
- MSA-based protein folding
- Provides sequence collections used to construct multiple sequence alignments for computational protein structure prediction.
- 90% identity clustering analysis
- Supplies UniProt protein sequences clustered at 90% sequence identity to reduce sequence redundancy.
- 50% identity clustering analysis
- Offers UniProt sequences clustered at 50% sequence identity for broader coverage across sequence families.
Strengths and limits
Good at
- Reduces sequence redundancy by clustering UniProt entries at 90% and 50% identity thresholds.
- Encompasses over 150 million protein sequences.
Questions
Can I search UniRef90 / UniRef50 without writing code?
UniRef90 / UniRef50 is catalogued here but not yet queried live, so the agent can point you to it but cannot search it for you yet.
Can I reuse data from UniRef90 / UniRef50?
CC BY 4.0. Terms: https://www.uniprot.org/help/license
What is the difference between UniRef90 and UniRef50?
UniRef90 clusters UniProt sequences at 90% sequence identity, whereas UniRef50 clusters sequences at 50% identity.
How many sequences do these collections contain?
The resource holds more than 150 million sequences.
What role do these databases play in structure prediction?
They provide the foundational sequence data for multiple sequence alignment (MSA) based protein folding.
Written from UniRef90 / UniRef50's own website and reference material. Statements citing a figure that does not appear there are removed before publication. Licence and running details come from our registry.