Q80XI7 AF NFT

Vomeromodulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhkqfqoomghpi6xpn53lkzzhq6zp4ouezgijjf5uxtdf45h5n36e/metadata.json
IPFS of structure file: 
bafybeih4wep7znvlpufzuqkap5dyzap63u2iafx54g35a6gw63yzfu54z4/AF-Q80XI7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB5421b6788433D11c92ee25039BE5189Ef459De4
First NFT owner address (bech32): 
genesis1k4ppkeuggv73rjfwufgrn0j338h5t80ys56jsz
Current NFT ID #497486 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497486
Accession (UniProt):
Q80XI7
Name::
Vomeromodulin
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 Q80XI7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q80XI7|VOME_MOUSE Vomeromodulin OS=Mus musculus OX=10090 GN=Bpifb9a PE=1 SV=1 MWVLQALAIMLSIQAGTLDLVETPPVVGNLPVAMPVPLNLPVGGLSPPVLKGPVNHQMLPPKRPVPPPKGGKCAPAARYFLSSDKLHDYLMSTLPPQIEDMVKCDEVNLEGMLADVLNTVESSDLLSLLDGISLLKGGEGGGLGIGGLLGNEGNGDSSKPSSGSKATGGLGQLIPGGIPGTEALGGLLNLGGDKSSGKGLLNGDGLSKIKKPLEDAVENVSGIKDAIQEKVNEVVPDGVKEPLNDVLKMDIKDTLLELKVGQVTLDDMEINMEANGMQVLSMLTATIDGKGVLGPVISLLQFEAKMDVMTTIAVASNNTQCVNLDAQDTHMHVKEMKIQLVETVTGKVPLPVPLPLDQIIPAIVTAKINENLEKSNSCAIVLNDFNNCKNNTGLFSYQVNTARISPKGLVILYCAKANIGNKTVPVPGGRLPPDPKNASIAVTISSTTLKTLVKEVAKNSSVQMDGLEAQITHIAFASQENNTLRVVYKVDITKNGEHFATGETKLFISHGSKISNSTLIPDVKLIRSEHSVVPPEAKEEVEGILSEVGKVAWSNFNETYKKMNIPVGVSSHTLKNSDVKLMKSIDLQAAS