Q9XS97 AF NFT

SNRPN upstream reading frame protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifjfxlysdwmcv4ibmklmrqxcmdsiholfnvgio46t5mmk76rsmwgci/metadata.json
IPFS of structure file: 
bafybeibfj6d6a7sxozzdeftlmxp4dhervgfr5wz3intfxsp25kw47kb74u/AF-Q9XS97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA8A8df2650b519B7097602f8710aaDf92bCe131e
First NFT owner address (bech32): 
genesis14z5d7fjsk5vmwztkqtu8zz4dly4uuyc7yf2d9l
Current NFT ID #431927 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
431927
Accession (UniProt):
Q9XS97
Name::
SNRPN upstream reading frame protein
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 Q9XS97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9XS97|SNURF_RABIT SNRPN upstream reading frame protein OS=Oryctolagus cuniculus OX=9986 GN=SNURF PE=3 SV=1 MERARDRLHLRRTTEQHVPEVEVQVKRRRTASLSNQECQLYPRRSQQQQVPVVDFQAELRQAFLAETPRGG