Q9ZM43 AF NFT

Uncharacterized metallophosphoesterase jhp_0380

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihbnmsjmsc4q633fj6livxrz3l5rgzcn63zt5slut6irqf56e3awq/metadata.json
IPFS of structure file: 
bafybeiabbmvbluzgxv4cxblhcliyqqc7q427ltrd7x3tmpbvepcez7x7va/AF-Q9ZM43-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #523557 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523557
Accession (UniProt):
Q9ZM43
Name::
Uncharacterized metallophosphoesterase jhp_0380
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 Q9ZM43 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZM43|YA44_HELPJ Uncharacterized metallophosphoesterase jhp_0380 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0380 PE=3 SV=1 MLISIAFLLVLCLLNYSSFRMLKSFLTLKKISRYAYLGFFILLSAGEATFVFYRNVMPSHLFVLTSACSFVSFIAFVFSLSFYGFSYSVEKIDFLPSRRKGLKNFLRIGFYLALLGYFWRGFYEGLARPKIKETPIYLDKLDKELKIILLTDMHVGSLLQKDFVNYIVEEVNQKEVDMVLIGGDLVDENIEKVKSFLLPLNNLKSTHGTFYVPGNHEYYHGIEPILSFLNTLDMTILGNECVHLGGINLCGVYDYFARKRQDFAPDIDKALKKRDSSKPTILLAHQPKQIRSLKESHSIDLVLSGHTHAGQIFPFSLLVKLAQTYLHGLYKHSGTTQIYVSSGAGYWGIPLRFLAPSEIAYLRLLPKNQA