Q9ZM67 AF NFT

Uncharacterized protein jhp_0355

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibuhpfyeamf53zm6jblsmmvdnwshwusdilwxk52epbye7aeqwjlsa/metadata.json
IPFS of structure file: 
bafybeibutnz4ik7y4hz7sk46gmpsvc5rediekd2mnrpnhm2lfca7ohaasm/AF-Q9ZM67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x236BE31147C31F4Cf9E96E9Be7E930dAedc070fA
First NFT owner address (bech32): 
genesis1yd47xy28cv05e70fd6d706fsmtkuqu86la49gg
Current NFT ID #523565 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523565
Accession (UniProt):
Q9ZM67
Name::
Uncharacterized protein jhp_0355
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 Q9ZM67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZM67|YA70_HELPJ Uncharacterized protein jhp_0355 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0355 PE=4 SV=1 MRSCKQIFDKGLKPYYKHSVCLKPFFRFCFLKIHAYQQRYRAFALTLFSCKFFNACKIFIPIIDFKIVFIPILKHQAKLKRVSNAY