Q0WVE9 AF NFT

Probable plastidic glucose transporter 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiatnq7pw6wwsfalbztf2gpq4nmj5m2sb5jjmzzyj36gm7cdrj5i5i/metadata.json
IPFS of structure file: 
bafybeih3uyt6q5snkbcero55jtmh5npxibwo42ybjoj6runskutzjtqowq/AF-Q0WVE9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a518D7f85eD490B16cdD47CeC359Ccb050F802E
First NFT owner address (bech32): 
genesis1pfgc6lu9a4ysk9kd637wcdvuevzslqpwg9q2ut
Current NFT ID #301888 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301888
Accession (UniProt):
Q0WVE9
Name::
Probable plastidic glucose transporter 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 Q0WVE9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WVE9|PLST1_ARATH Probable plastidic glucose transporter 1 OS=Arabidopsis thaliana OX=3702 GN=At1g05030 PE=2 SV=2 MWVTNTVLLYRPNSMNRLTFSYPTRLAHSRKASSFSRFFRSSKRKKRVTTLSTKKPDDDHEISPVPPEKFSADLGWLSAFPHVSVASMANFLFGYHIGVMNGPIVSIARELGFEGNSILEGLVVSIFIAGAFIGSIVAGPLVDKFGYRRTFQIFTIPLILGALVSAQAHSLDEILCGRFLVGLGIGVNTVLVPIYISEVAPTKYRGSLGTLCQIGTCLGIIFSLLLGIPAEDDPHWWRTMLYVASMPGFLLALGMQFAVESPRWLCKVGRLDDAKVVIRNIWGGSEVEKAVEDFQSVMKNSGSNLNSRWLELLDKPHSRVAFIGGSLFVLQQFAGINGVLYFSSLTFQNVGITSGAQASLYVGVTNFAGALCASYLIDKQGRKKLLIGSYLGMAVSMFLIVYAVGFPLDEDLSQSLSILGTLMYIFSFAIGAGPVTGLIIPELSSNRTRGKIMGFSFSVHWVSNFLVGLFFLDLVEKYGVGTVYASFGSVSLLAAAFSHLFTVETKGRSLEEIELSLNSRDDLS