Q9I8V0 AF NFT

Parvalbumin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicocnwwuce3mok64gxyfyqojg5tcfywpp4ih4hjwfm66sidbl77d4/metadata.json
IPFS of structure file: 
bafybeifnegot5vhyfkzmthayjizd76le32hdpafm5ev7nmx73na4kcdsoi/AF-Q9I8V0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb64DEeDEE372f6B93106C4D05EA5568323EeD16E
First NFT owner address (bech32): 
genesis1kex7ahhrwtmtjvgxcng9af2ksv37a5twwzcdz3
Current NFT ID #311861 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
311861
Accession (UniProt):
Q9I8V0
Name::
Parvalbumin-2
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q9I8V0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I8V0|PRV2_DANRE Parvalbumin-2 OS=Danio rerio OX=7955 GN=pvalb2 PE=3 SV=3 MAFAGILKDEDVAAALKDCAAADSFNYKNFFAKVGLSAKSPDDIKKAFFVIDQDKSGFIEEDELKLFLQNFSAGARALTDAETKAFLSAGDSDGDGKIGVDEFALLVKA