Q9LIJ4 AF NFT

Putative vacuolar protein sorting-associated protein 22 homolog 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibeujgc67g3sepqusm6ncleseqzavfbwatwi33uduzgrmiv4fjz3u/metadata.json
IPFS of structure file: 
bafybeieudairej2tcz2uud5rfu6scrffvkf7dm36mhbgu2fgunzx2gnakm/AF-Q9LIJ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2408F4f0b097Ba15266070a8515c295126130EC7
First NFT owner address (bech32): 
genesis1ysy0fu9sj7ap2fnqwz59zhpf2ynpxrk8ecgsqv
Current NFT ID #497535 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497535
Accession (UniProt):
Q9LIJ4
Name::
Putative vacuolar protein sorting-associated protein 22 homolog 2
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9LIJ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LIJ4|VP222_ARATH Putative vacuolar protein sorting-associated protein 22 homolog 2 OS=Arabidopsis thaliana OX=3702 GN=VP22-2 PE=5 SV=1 MCANIGVDPLASNKGFWAELLGIGDFYYEIGVQIIEVCMLTRSHNGGLISLQELCNHLRQRRKTDREAVTEDDCLRAISKLKLLGSRFEVITIGKKKFVRSVPTELNKDHNHILELATRF