Q9WU12 AF NFT

SNRPN upstream reading frame protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiethm76cfi3l65y3gxmnfbb3vmoe2uaacw6mcota2yn76y5w5ikty/metadata.json
IPFS of structure file: 
bafybeignszrtiy7bsaxr7dmorrweueg24pzmgpropfclrpxyz7wtzfgfya/AF-Q9WU12-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe1a85DF48870124Ac6330A08Fe9b4CEfa75DA51F
First NFT owner address (bech32): 
genesis1ux59maygwqfy433npgy0ax6va7n4mfgl8lvjcd
Current NFT ID #431925 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431925
Accession (UniProt):
Q9WU12
Name::
SNRPN upstream reading frame protein
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9WU12 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9WU12|SNURF_MOUSE SNRPN upstream reading frame protein OS=Mus musculus OX=10090 GN=Snurf PE=1 SV=1 MERGRDRLHLRRTTEQHVPEVEVQVKRRRTASLSNQECHLYPRRSQQQQVPVVDFQAELRQAFLAETPRGG