Q9ER58 AF NFT

Testican-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid4i5dt2ow4kfclfjnkhabbja67x2qp7ga7herbiz3soslsc6p6gq/metadata.json
IPFS of structure file: 
bafybeihuoq45r5alc3kfeisyntbehdwftma7cpsplrygfpwlu3i6wtdo4i/AF-Q9ER58-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeF0D3D8E99004dA2f643cd0ce1367dE3512fAd6B
First NFT owner address (bech32): 
genesis1auxnmr5eqpx69ajre5xwzdnaudgjlttt6h2t42
Current NFT ID #465559 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
465559
Accession (UniProt):
Q9ER58
Name::
Testican-2
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9ER58 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ER58|TICN2_MOUSE Testican-2 OS=Mus musculus OX=10090 GN=Spock2 PE=1 SV=1 MRAPGSGRLALPLLLLAVVALAEGDAKGLKEGETPGNFMEDEQWLSSISQYSGKIKHWNRFRDEVEDDYIKSWEDNQQGDEALDTTKDPCQKVKCSRHKVCVAQGYQRAMCISRKKLEHRIKQPSLKLHGGKDSVCKPCHMAQLASVCGSDGHTYSSVCKLEQQACLSSKQLAVRCEGPCPCPTEQSTASTTDSKSETCTGQDLADLGDRLRDWFQLLRENSKQNGSANSATNPAGLDKSLGASCKDSIGWMFSKLDTSGDLFLDQTELAAINLDKYEVCIRPFFNSCDTYKDGRVSTAEWCFCFWREKPPCLAELERTQIQEAAKKKPGVFIPSCDEDGYYRKMQCDQSRGDCWCVDQLGLELTGTRMHGTPDCDDIVGFSGDFGSGVGWEDEEEKETEEAGEEAEEEEGEAGEADDGGYIW