Q9ZMK2 AF NFT

UPF0323 lipoprotein jhp_0217

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigr4f4rwfphk75rua7op3btibe5hyrxjmc7hwyulgdegjylwsbkc4/metadata.json
IPFS of structure file: 
bafybeicfdylfimwx6zl4shmfpim6xtjcx2bp33xnsjkb2tr5zbd7zndtgu/AF-Q9ZMK2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x50D933455AbBAeA3d982a15bc4E86989573aB3E4
First NFT owner address (bech32): 
genesis12rvnx326hwh28kvz59duf6rf39tn4vly92eh75
Current NFT ID #511277 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511277
Accession (UniProt):
Q9ZMK2
Name::
UPF0323 lipoprotein jhp_0217
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 Q9ZMK2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZMK2|Y217_HELPJ UPF0323 lipoprotein jhp_0217 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0217 PE=3 SV=1 MKKPYRKISDYAIVGGLSALVMVSIVGCKSNADDKPKEQSSLSQSVQKGAFVILEEQKDKSYKVVEEYPSSRTHIVVRDLQGNERVLSNEEIQKLIKEEEAKIDNGTSKLVQPNNGGSNEGSGFGLGSAILGSAAGAILGSYIGNKLFNNPNYQQNAQRTYKSPQAYQRSQNSFSKSAPSASSMGTASKGQSGFFGSSRPTSSPAISSGTRGFNA