Q9LPU9 AF NFT

Vacuolar iron transporter homolog 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiat3mrvpkczqsj24ueah4kbz74s5b7rnzlxscgi4lq2txz2j3bptm/metadata.json
IPFS of structure file: 
bafybeibcd72ax7q5wkgqhvhxruw7xdsjqdsknnybw5flawngf5gyqel4yq/AF-Q9LPU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB7950E95eAd230FCC2CE18A361294b6999077050
First NFT owner address (bech32): 
genesis1k72sa9026gc0eskwrz3kz22tdxvswuzsxkcyn3
Current NFT ID #496719 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496719
Accession (UniProt):
Q9LPU9
Name::
Vacuolar iron transporter homolog 1
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 Q9LPU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LPU9|VITH1_ARATH Vacuolar iron transporter homolog 1 OS=Arabidopsis thaliana OX=3702 GN=VTL1 PE=2 SV=1 MESHNVSNSLNLDMEMDQEKAFDYSKRAQWLRAAVLGANDGLVSTASLMMGVGAVKQDVKVMILSGFAGLVAGACSMAIGEFVSVYSQYDIEVAQMKRENGGQVEKEKLPSPMQAAAASALAFSLGAIVPLMAAAFVKDYHVRIGAIVAAVTLALVMFGWLGAVLGKAPVFKSSARVLIGGWLAMAVTFGLTKLIGTHSL