Q2V4B9 AF NFT

Probable plastidic glucose transporter 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaj2gowlifkhlsn7lqoctvbjinty5saelrzy5iihyi22imnuziyhq/metadata.json
IPFS of structure file: 
bafybeidebkmdrlhggiq6gprcdq7wg4kz3w7wbvpejpvqlk2zhumqtuesuu/AF-Q2V4B9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdCb759BBBC4b1530E42E18346807a357A0FEF24f
First NFT owner address (bech32): 
genesis1mjm4nwaufv2npepwrq6xspar27s0auj0fjxg3s
Current NFT ID #301890 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301890
Accession (UniProt):
Q2V4B9
Name::
Probable plastidic glucose transporter 3
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 Q2V4B9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2V4B9|PLST3_ARATH Probable plastidic glucose transporter 3 OS=Arabidopsis thaliana OX=3702 GN=At1g79820 PE=2 SV=2 MDSVRRTYTIMRGRHIDKRVPSKEFLSALDKAETAVRLPTGTGKDCGNPSWKRSLPHVLVASLTSLLFGYHLGVVNETLESISIDLGFSGNTIAEGLVVSTCLGGAFIGSLFSGLVADGVGRRRAFQLSALPMIVGASVSASTESLMGMLLGRFLVGIGMGIGPSVTALYVTEVSPAYVRGTYGSSTQIATCIGLLGSLFAGIPAKDNLGWWRICFWISTVPAAMLAVFMELCVESPQWLFKRGRAAEAEAVFEKLLGGSYVKAAMAELVKSDRGDDADSAKLSELLFGRSFRVVFIGSTLFALQQLSGINAVFYFSSTVFKKAGVPSASANICVGVCNLLGSTVAVVLMDKLGRKVLLIGSFAGMAVSLGLQAIAYTSLPSPFGTLFLSVGGMLLFVLSFATGAGPVPSLLLSEICPGRLRATALAVCLAVHWVINFFVGLLFLRMLEQLGSVLLNAIFGFFCVVAVIFVQKNVVETKGKSLQEIEISLLSSTQ