Q3SYK4 AF NFT

Vertnin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwlf4cz5wugolxpjlgfixnxmtgm6ohrutyx35pnyjtly3hnjasqa/metadata.json
IPFS of structure file: 
bafybeihefqfed4pisnzt5gdjqlxainozhkuuzzzz72hbthep5m4epmrvia/AF-Q3SYK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #498258 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
498258
Accession (UniProt):
Q3SYK4
Name::
Vertnin
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 Q3SYK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3SYK4|VRTN_MOUSE Vertnin OS=Mus musculus OX=10090 GN=Vrtn PE=2 SV=1 MTSRDQLVQQVLRDLQEAVESEGLEGLIGAALEAKQVLSSFTLPICQKGGPGAQVLEVDSVALSLYPEDAPRNMLPLVCKGEGSLLFEATSLLLWGHTGLSLELRARTVVEMLLHRHYYLQGMIDSKVMLQAVRYSLCSEESPEMTNLSFATLEAIFDADVKATCFPTSFSNVWHLYALASILECNIYSIYPMRNIKIRPYFNRVIMPRCSTHVTSMLHIMWAGQPLTSHLFRHQYFAPVVGLEEVEADCTASLNPVPPNLGPLLPPAKTLELLNREPGLSYSHLCDRISITKSTFYRWRRQTQEHRQKVATRFSAKHFLQDSFHRGGFVPLQQFLQRFPEISRSTYYAWKHELLGSGANSALGPATPSREALAVPEVERPPGKKAAEEVGCSSLAAAMLSPPSMILMQRAKSFLEYCISLNKLVPYRCFKCRFPGISRSTYYNWRRKALRRTPSFKLSQAAFETAESLQPTDVGKETPFSLKREAGEEETGKAGSGAPLTSRGLISPKMPLSRWQRRLRRAARKQVLNGHLPFCRFRLRYPSLLPSTFWVWKSLSRRSPGMQIPSLSQRRQKPQGRQKPEGRQKPEEQQKPEGRQKPEGRQKPVEPQAMEADQNVPAMVVPPAETLPVATSPEDVPGGPSREGNIIQEAAMTQSQPHSGSLPSQTLAEAPGGSDGQVLVMDMLTTTRFKAQAKLFLQKRFQSKTFPSYKEFQALFPLTARSTYYMWKRALYEGLTLIDG