Q9ZJD1 AF NFT

36 kDa antigen

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3vlrzesx22tnfvtg5tmjhu5mk3sdxze53srfvwng4sv5ym3dite/metadata.json
IPFS of structure file: 
bafybeiahuow2idndnkhwvf4lcsdodkcilqjcnhiarobcuv7ijffvnvx6c4/AF-Q9ZJD1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78A19839AffE55Dec18D3CdEEd6CFa0e8b6FDd57
First NFT owner address (bech32): 
genesis10zseswd0le2aasvd8n0w6m86p69klh2huajjvd
Current NFT ID #16082 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16082
Accession (UniProt):
Q9ZJD1
Name::
36 kDa antigen
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 Q9ZJD1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZJD1|AN36_HELPJ 36 kDa antigen OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_1381 PE=3 SV=1 MSNSMLDKNKAILTGGGALLLGLIVLFYLAYRPKAEVLQGFLEAREYSVSSKVPGRIEKVFVKKGDRIKKGDLVFSISSPELEAKLAQAEAGHKAAKAVSDEVKRGSRDETINSARDVWQAAKSQANLAKETYKRVQDLYDNGVASLQKRDEAYAAYESTKYNESAAYQKYKMALGGASSESKIAAKAKESAALGQVNEVESYLKDVKALAPIDGEVSNVLLSGGELSPKGFPVVLMIDLKDSWLKISVPEKYLNEFKVGKEFEGYIPALKRSAKFRVKYLSVMGDFATWKATNNSNTYDMKSYEVEAIPLEELENFRVGMSVLVTIKP