Q9ZJQ4 AF NFT

Uncharacterized protein jhp_1250

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib3svj252q3fynxe3gazlno553cjumi3kw5vv5s5qf3vir3shqwoi/metadata.json
IPFS of structure file: 
bafybeifuyo4wgxqpdji3kycguk7lrs2iypn7qzaohwbyeua2h5wteswf3q/AF-Q9ZJQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbe16d62EBe1647348E4f506207f4F42FE1EA97cE
First NFT owner address (bech32): 
genesis1hctdvt47zernfrj02p3q0a859ls7497wenaf0e
Current NFT ID #528192 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528192
Accession (UniProt):
Q9ZJQ4
Name::
Uncharacterized protein jhp_1250
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 Q9ZJQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZJQ4|YD30_HELPJ Uncharacterized protein jhp_1250 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_1250 PE=3 SV=1 MLMHSILILLVIIITTYFTRIWPFMVFNSKNPPNDFVRYLGRALSCSVIGMLVVYCFKDIHVLKPPYGINEITAFLSVILLHRIFKVFVLSITLPTILYMVLVQSHALEKAFFNIHVS