Q9ZLU5 AF NFT

CAG pathogenicity island protein 12

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjbjynk3vgrcbqor2orincbgn3evwtggdrbp44vl5rg4oe7dwkxu/metadata.json
IPFS of structure file: 
bafybeibmoz5hgswcqowfvvuhacjfh5awk54gx3qe2o4uaz4xinoxpyw7za/AF-Q9ZLU5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #49303 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
49303
Accession (UniProt):
Q9ZLU5
Name::
CAG pathogenicity island protein 12
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 Q9ZLU5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZLU5|CAGT_HELPJ CAG pathogenicity island protein 12 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=cagT PE=3 SV=1 MKLRASVLIGVAILCLILSACSNYAKKVVKQKNHVYTPVYNELIEKYSEIPLNDKLKDTPFMVQVKLPNYKDYLLDNKQVVLTFKLVHHSKKITLIGDANKILQYKNYFQANGARSDIDFYLQPTLNQKGVVMIASNYNDNPNNKEKPQTFDVLQGSQPMLGANTKNLHGYDVSGANNKQVINEVAREKAQLEKINQYYKTLLQDKEQEYTTRKNNQREILETLSNRAGYQMRQNVISSEIFKNGNLNMQAKEEEVREKLQEERENEYLRNQIRSLLSGK