Q9PFB4 AF NFT

Probable membrane transporter protein XF_0764

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih5roipddx3hg27rnfrxrj5ywrb5emugco2bahxyn6s7fkbe4p7ga/metadata.json
IPFS of structure file: 
bafybeicft4pvzl7rr445f47ixprpvkbdpflvlv33ox4f6zahf4b2c5shoq/AF-Q9PFB4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #521543 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
521543
Accession (UniProt):
Q9PFB4
Name::
Probable membrane transporter protein XF_0764
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PFB4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PFB4|Y764_XYLFA Probable membrane transporter protein XF_0764 OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=XF_0764 PE=2 SV=2 MTIQSLIVTIGSGGLVGFALGLLGGGGSILATPLLLYVVGVTNPHIAIGTSAVAVSANAYANLIAHAWKGHVWWRSAVIFALVGTLGAFLGSSIGMLIDGQRLLLLFGLLMAMVGLLMLRGRATAPHAEQHQTVLRMCMKTSAVAILTGAASGFFGIGGGFLIVPALIFATRMPTINAIGSSLLAVGTFGLITTLNYARHDLVDWTIAMEFIVGGITGGGLGTLLATRFSASKHLLNRVFGLIVIAVAIYVIWRSWASLVA