Q9ZMG1 AF NFT

Uncharacterized protein jhp_0259

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibv77o2hb6q6kpafj7vv4teu22bbp66zhyytcmcpcqxqvkvg63spy/metadata.json
IPFS of structure file: 
bafybeifyjtny4aqn6pjiaa7iy62o7cyotuuovk5w4acz25r2xkcy3n52d4/AF-Q9ZMG1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #513545 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513545
Accession (UniProt):
Q9ZMG1
Name::
Uncharacterized protein jhp_0259
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 Q9ZMG1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZMG1|Y274_HELPJ Uncharacterized protein jhp_0259 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0259 PE=4 SV=1 MRDFDFSFNHKACEGCGAKCCVGESGYIFVTIQEMQQISAFLKLELEEFSQKYVKKVGYKFSLLEKDAKDLGLACVFLDLETKKCQIYSARPKQCQTFPFWESVKTFSKEQKEAFCQSCPGITQKTKETKVR