P35322 AF NFT

Cornifin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavpqvnxdyh7vuvm2y66aeiw7stlvaisgv3yhtauxfluspzhsnhry/metadata.json
IPFS of structure file: 
bafybeib6fq65dh4kvbdcxpxnuu5ar2prto346mgctgy5mmkrybulbpliku/AF-P35322-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7AD8c6a658DFB23b669E4E517Bc775cbAdD78FF8
First NFT owner address (bech32): 
genesis10tvvdfjcm7erke57feghh3m4ewka0rlcf0e6aw
Current NFT ID #435422 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
435422
Accession (UniProt):
P35322
Name::
Cornifin
Experimental Method:
Predicted structure
Sequence source:
MACACA MULATTA

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 P35322 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35322|SPRR1_MACMU Cornifin OS=Macaca mulatta OX=9544 GN=SPRR1 PE=2 SV=1 MSSQQQKQPCTPPPQLQQQQVKQPCQPPPQEPCIPKTKEPCLPKVPEPCHPKVPEPCQPKVPEPCHPKVPEPCPSTVTPAPAQQKTKQK