Q9HWR7 AF NFT

Probable sugar efflux transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibuprttnubniylociph3slcq2tdebscdn4o3y4z55wwwwy2hfdbva/metadata.json
IPFS of structure file: 
bafybeicvvzofsaiwfx7sbcaodpa3pe4qgaxn6jkot6bdyres2v75mdamn4/AF-Q9HWR7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #433027 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433027
Accession (UniProt):
Q9HWR7
Name::
Probable sugar efflux transporter
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HWR7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HWR7|SOTB_PSEAE Probable sugar efflux transporter OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=sotB PE=3 SV=1 MDSTSETRSGSWLSVIALALAAFIFNTTEFVPVGLLSDIGHSFEMPTSQVGLMLTIYAWVVSLASLPMMLLTRNIERRKLLVGVFLLFIASHVLSGLAWSFQVLMLSRIGIAFAHAVFWAITASLAVRVAPPGQQAKALGLLATGTTLAMVLGIPLGRVVGEALGWRTTFMAIAGLSVLTLLYLARSLPLLPSQNSGSLRSLPMLFRRPALVCLYVLTVVVISAQFTAYSYIEPFAKQVAQMSGEATTLLLLLFGGAGIFGSILFSRYSEAFPRGFLLAAILALGSSLALLLPLSAQPTWLMALSLLWGMSIMCFGLAQQSRVLRLASDATDVAMALFSGLYNVGIGAGALLGSVVSERMGLASIGNVGAALALAGLLLALFAALRYAEALKSTSL