Q9Y675 AF NFT

SNRPN upstream reading frame protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiceoy4ki5a3xhjpie4lm4wb3doreskhdvclikfrayp6vfwykjonxa/metadata.json
IPFS of structure file: 
bafybeiaqvxaa2i6xs4oj4jnodc6ryj6zqwmkynhydddhfqjwfb4c77cupm/AF-Q9Y675-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x98B59d43862b13d55e7D872d5Bb6D8b35CdEafa1
First NFT owner address (bech32): 
genesis1nz6e6sux9vfa2hnasuk4hdkckdwdatapycwv7x
Current NFT ID #431924 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431924
Accession (UniProt):
Q9Y675
Name::
SNRPN upstream reading frame protein
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q9Y675 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Y675|SNURF_HUMAN SNRPN upstream reading frame protein OS=Homo sapiens OX=9606 GN=SNURF PE=1 SV=1 MERARDRLHLRRTTEQHVPEVEVQVKRRRTASLSNQECQLYPRRSQQQQVPVVDFQAELRQAFLAETPRGG