Biophysical Proteome Atlas

Mouse

Mus musculus

Sequence-based biophysical predictions for the Mouse (Mus musculus) reference proteome, from UniProt UP000000589.

Traditionally, proteins are described in a single static state (a picture). It is now increasingly recognised that many proteins can adopt multiple states and move between these conformational states dynamically (a movie). Even more, not every protein has a well-defined three-dimensional structure, many are partly or fully disordered. These predictions describe backbone and side-chain dynamics, disorder, early folding events, beta-sheet aggregation and phase separation.


In this atlas

17,260

Entries here

16,938

Genes

23

Chromosomes

17,277

Reviewed in UniProt

Browse all entries

Last updated 4 seconds ago.

About this proteome

Extracted from UniProtKB

The house mouse (Mus musculus) is a common rodent that is distributed throughout the world. It has become a frequently used model for understanding human disease and development due to its small size, short life-cycle and rapid breeding cycle. The mouse was the second mammal to have its genome sequenced. The mouse strain used for sequencing was C57BL/6J, which is the most widely used inbred strain. This strain is a permissive background for the expression of most mutations, but is resilient to many tumors. C57BL/6J mice are susceptible to atherosclerosis, type 2 diabetes and diet-induced obesity. It also develops age-related hearing loss. 75% of the mouse genes are in 1:1 orthologous relationships to human genes and have most likely maintained their ancestral function in both species. The reference proteome of Mus musculus is derived from the genome sequence of strain C57BL/6J that was published in 2009. The size of the genome is 2.6 Gb.

What is included

This atlas covers the reviewed entries of this proteome — the manually curated Swiss-Prot section of UniProtKB. That is 31.5% of it. The other 37,578 entries are unreviewed (TrEMBL) and are not included, which is why the count above is smaller than the proteome. You can run the same predictions on any of them yourself in the online predictors.

17,277 reviewed · 31.5% 37,578 unreviewed · 68.5% 54,855 in the proteome
UniProt proteome
UP000000589
Taxonomy
10090 · MOUSE
Proteome type
Reference proteome
Strain
C57BL/6J
Superkingdom
eukaryota
Genome assembly
GCA_000001635.9 · Ensembl
Completeness (BUSCO)
99% · 13767/13798

Source: UniProt proteome UP000000589, last modified 22 Apr 2026. Retrieved 11 Sep 2026 (6 hours ago) and cached for a week.


Most viewed mouse proteins

What visitors are reading in this proteome — 2,952 entry views in total.

  1. 1 B2RVY9 · Tmem182 TM182_MOUSE Chromosome 1 10 views
  2. 2 A7MCT6 · Etnk2 EKI2_MOUSE Chromosome 1 9 views
  3. 3 A9Q751 · Cfap221 PCDP1_MOUSE Chromosome 1 9 views
  4. 4 Q3V1G4 · Olfml2b OLM2B_MOUSE Chromosome 1 9 views
  5. 5 B2RPY5 · Gpr161 GP161_MOUSE Chromosome 1 7 views
  6. 6 E9PUQ8 · Dgkd DGKD_MOUSE Chromosome 1 7 views
  7. 7 Q3UU96 · Cdc42bpa MRCKA_MOUSE Chromosome 1 7 views
  8. 8 Q3V089 · Rbm44 RBM44_MOUSE Chromosome 1 7 views
  9. 9 Q61137 · Astn1 ASTN1_MOUSE Chromosome 1 7 views
  10. 10 Q69ZM6 · Stk36 STK36_MOUSE Chromosome 1 7 views

What do we provide?

Sequence-based predictions that help explain the behaviour of the proteins in the mouse proteome. Not all of these proteins, or regions of them, have a well-defined three-dimensional structure as available from the PDB; many are dynamic or ambiguous. These predictions give clues as to how such regions behave.

DynaMine
backbone and side-chain dynamics
DisoMine
disorder
EFoldMine
early folding
AgMata
beta-sheet aggregation
PSPer
phase separation

How do I proceed?

Open the entry list and click a UniProt accession. Each entry page carries:

  • Overview — every prediction on one plot.
  • Interpretation — disorder classified as order, transition or disorder.
  • Values and Statistics — the numbers behind the plots.
  • Sequence — residues coloured by prediction.
  • PSP — phase-separation propensity.
  • Visualization 1D-3D — a 3D model coloured by prediction.
  • Downloads — sequence, predictions and structures.

Prefer code? Everything is available through the REST API.