Q9M2C0 AF NFT

Vacuolar iron transporter homolog 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicicrovkheomfywdp2khclxz2dzkeznh4gmpae5p2ku36jsuujbju/metadata.json
IPFS of structure file: 
bafybeicxumvn6rodnohh5yd657sxle2glpwq74sdmlfvcxhjkxnik4u6f4/AF-Q9M2C0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #496725 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
496725
Accession (UniProt):
Q9M2C0
Name::
Vacuolar iron transporter homolog 4
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 Q9M2C0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9M2C0|VITH4_ARATH Vacuolar iron transporter homolog 4 OS=Arabidopsis thaliana OX=3702 GN=At3g43660 PE=2 SV=1 MESNNNNLNLDMEKDQETTFDYSKRAQWLRAAVLGANDGLVSTASLMMGIGAVKQDVRIMLLTGFAGLVAGACSMAIGEFISVYSQYDIEVAQMKRESGGETKKEKLPSPTQAAIASALAFTLGAIVPLLAAAFVKEYKVRIGVIVAAVTLALVMFGWLGAVLGKAPVVKSLVRVLIGGWLAMAITFGFTKLVGSHGL