Q9ZV02 AF NFT

Bidirectional sugar transporter SWEET9

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6qy75rtk74nfcrftjjm5fixmuzgzt7eqke4ttmyrdebb53fxdyi/metadata.json
IPFS of structure file: 
bafybeibhd2lvpoaxjmswomwnf4vlrpgsjpi577bqppd2bmtzdzth5g65qq/AF-Q9ZV02-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x159a74F8323b2EB2cC088ac2b0e2E49Cd847Cacd
First NFT owner address (bech32): 
genesis1zkd8f7pj8vht9nqg3tptpchynnvy0jkd052akh
Current NFT ID #442602 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
442602
Accession (UniProt):
Q9ZV02
Name::
Bidirectional sugar transporter SWEET9
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 Q9ZV02 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZV02|SWET9_ARATH Bidirectional sugar transporter SWEET9 OS=Arabidopsis thaliana OX=3702 GN=SWEET9 PE=1 SV=1 MFLKVHEIAFLFGLLGNIVSFGVFLSPVPTFYGIYKKKSSKGFQSIPYICALASATLLLYYGIMKTHAYLIISINTFGCFIEISYLFLYILYAPREAKISTLKLIVICNIGGLGLLILLVNLLVPKQHRVSTVGWVCAAYSLAVFASPLSVMRKVIKTKSVEYMPFLLSLSLTLNAVMWFFYGLLIKDKFIAMPNILGFLFGVAQMILYMMYQGSTKTDLPTENQLANKTDVNEVPIVAVELPDVGSDNVEGSVRPMK