Q9LUR4 AF NFT

Bidirectional sugar transporter SWEET16

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmyhwvhlyb2yiun5rwmx4y4obbmws4qjvnldvzb2xhmqytwpciku/metadata.json
IPFS of structure file: 
bafybeibdk6wk7bbamrnszblfjufg2bccnbjogbl3jw7vbdp3bd4fvnx5eu/AF-Q9LUR4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc2d018C3B68758051786C757a4402031fe683775
First NFT owner address (bech32): 
genesis1ctgp3saksavq29uxcat6gspqx8lxsdm4y50z25
Current NFT ID #442737 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
442737
Accession (UniProt):
Q9LUR4
Name::
Bidirectional sugar transporter SWEET16
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 Q9LUR4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LUR4|SWT16_ARATH Bidirectional sugar transporter SWEET16 OS=Arabidopsis thaliana OX=3702 GN=SWEET16 PE=1 SV=1 MADLSFYVGVIGNVISVLVFLSPVETFWRIVQRRSTEEYECFPYICTLMSSSLWTYYGIVTPGEYLVSTVNGFGALAESIYVLIFLFFVPKSRFLKTVVVVLALNVCFPVIAIAGTRTLFGDANSRSSSMGFICATLNIIMYGSPLSAIKTVVTTRSVQFMPFWLSFFLFLNGAIWGVYALLLHDMFLLVPNGMGFFLGIMQLLIYAYYRNAEPIVEDEEGLIPNQPLLA