Q9SHH0 AF NFT

Cationic amino acid transporter 8, vacuolar

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieqqrvseoykamrpx44jmvulmlc4k6fdfhacinxl6szv4wo3dmqor4/metadata.json
IPFS of structure file: 
bafybeibgwc5kvb3fnyusk5rkls2xdbff4nffpsykdr66cnbwroz6sp3jpa/AF-Q9SHH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #48848 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
48848
Accession (UniProt):
Q9SHH0
Name::
Cationic amino acid transporter 8, vacuolar
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 Q9SHH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SHH0|CAAT8_ARATH Cationic amino acid transporter 8, vacuolar OS=Arabidopsis thaliana OX=3702 GN=CAT8 PE=2 SV=1 MIPASMEEAHQLESRSDDLSQRRSYWRWRKQDFFPEFSFQSFSTYKSALSATCPRLADRLLSRSSDAYELDAARRESENPMRRCLTWWDLLWLSFGSVVGSGVFVITGQEARVGAGPAVVLSYAISGVSALLSVLCYAEFGVEIPVAGGSFSYLRVELGDFIAFIAAGNILLEAMVGAAGLGRSWSSYLASLVKNDSDYFRIKVDSFAKGFDLLDPVAVAVLLVANGIAMTGTKRTSWLNLITSMVTVCIIVFIVVVGFTHSKTSNLVPFFPYGAKGVVQSAAVVYWSYTGFDMVANMAEETEKPSRDIPIGLVGSMSMITVVYCLMALALTMMVKYTEIDANAAYSVAFAQIGMKWAKYLVGICALKGMTTSLLVGSLGQARYTTQIARSHMIPPWFALVHPKTGTPIYATLLVTILSSIISFFTSLEVLSSVFSFATLFIFMLVAVALLVRRYYVKDVTPEAGLLKFLGFLFLIIASSIGVSALWNSGVKGWIAYTVTGVIWFIGTLGLALLPKYRVPKVWGVPLVPWLPSFSIAMNLFLIGSLGYVAFLRFIICTMVMLLYYLFVGLHATYDVAHQPLEEAKFEGER