P35323 AF NFT

Cornifin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2zipkghzwpmbqw3cgpg2wzqcvpguy4tw553u3biv2redatvhnvy/metadata.json
IPFS of structure file: 
bafybeiakfkn2zlqj425q7k3py4pn7dv3il4bwde2qujez5oskfpfrqzrsm/AF-P35323-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x309D94817aCF44c169EAF3731054957434d07b89
First NFT owner address (bech32): 
genesis1xzwefqt6eazvz6027de3q4y4ws6dq7ufdr67d3
Current NFT ID #435423 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
435423
Accession (UniProt):
P35323
Name::
Cornifin
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 P35323 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35323|SPRR1_PIG Cornifin OS=Sus scrofa OX=9823 GN=SPRP PE=2 SV=1 MSSQQQKQPCTPPPQPQQQQVKQPCQPPPQEPCVPKTKEPCHPKVPEPCQPKVPEPCQPKVPEPCHPKVPEPCQPKVPEPCPSPVIPAPAQQKTKQK