Q9ZKG7 AF NFT

Uncharacterized MscS family protein jhp_0969

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiftypyovk7wjeicv2aauw3rtmjnlhk6llsw6o2a2yefn4q3xzcpsq/metadata.json
IPFS of structure file: 
bafybeicxnczqttygzuoywe4mbgrvfe2cguaiel3eearfibnjlh2ps55dpu/AF-Q9ZKG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #517096 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
517096
Accession (UniProt):
Q9ZKG7
Name::
Uncharacterized MscS family protein jhp_0969
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZKG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZKG7|Y415_HELPJ Uncharacterized MscS family protein jhp_0969 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0969 PE=3 SV=1 MRLLLWWVLVLSLFLDPLRAVEEHETDAVDLFLIFNQINQLNQVIETYKKNPERSAEISLYNTQKNDLIKSLTSKVLNERDKIGIDINQNLKEQEKIKKRLSKSIKGDDFYTFMKDRLSLDILLIDETLYRFIDKIRSSIDIFSEQKDVESISDAFLLRLGQFKLYTFPKNLGNVKMHELEQMFSDYELRLNTYTEVLRYIKNHPKEVLPKNLIMEVNMDFVLNKISKVLPFTAHSLQVSKIALALMILALLLGLRKLITWLLALLLDRIFEIMQRNKKMHVNVQSSIVSPVSVFLALFSCDVALDIFYYPNASPPKVSMWVGAVYIMLLAWLVIALFKGYGEALVTNVATKSTHNFRKEVINLILKVVYFLIFIVALLGVLKQLGFNVSAIIASLGIGGLAVALAVKDVLANFFASVILLLDNSFSQGDWIVCGEVEGTVVEMGLRRTTIRAFDNALLSVPNSELAGKPIRNWSRRKVGRRIKMEIGLTYSSSQSALQLCVKDIKEMLENHPKIANGADSALQNASDYRYMFKKDIVSIDDFLGYKNNLFVFLDQFADSSINILVYCFSKTVVWEEWLEVKEDVMLKIMGIVEKHHLSFAFPSQSLYVESLPEVSLKEGAKI