Q0HZ78 AF NFT

Catalase-peroxidase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwckegt2uaegbfzrj7cftbbltnggotxghuoddiumcrp7pbzowhzi/metadata.json
IPFS of structure file: 
bafybeiebqvvcka5322omk63egtsdr3ofjx2msf6skccsqeaoeurpynrw7a/AF-Q0HZ78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9823334B175F9f2683922fd5F25c4D9e96Fd15E9
First NFT owner address (bech32): 
genesis1nq3nxjcht70jdquj9l2lyhzdn6t0690f5rsn8h
Current NFT ID #198453 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
198453
Accession (UniProt):
Q0HZ78
Name::
Catalase-peroxidase 2
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-7)

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 Q0HZ78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HZ78|KATG2_SHESR Catalase-peroxidase 2 OS=Shewanella sp. (strain MR-7) OX=60481 GN=katG2 PE=3 SV=1 MKKSTIPTLSALTLAMSLAFGGSVIAQEQVTDNQFWWPEQLNLSPLRQNAVESNPYGSDYHYAEAFKSLDLDAVKKDIKALMTESQDWWPADYGHYGPFFIRMAWHSAGVYRIFDGRGGAAGGQQRFEPLNSWPDNVNLDKARRLLWPIKQKYGSKISWGDLMVLTGNVALESMGFKTFGFAGGRVDDWEAEQVNWGSEKAWLDSKRRNEKGELAKPMGATQMGLIYVNPEGPNGVPDPLASAKEIRDTFGRMAMNDEETVALIAGGHTFGKAHGAHDPSKCVGADPAASGVEAQGLGWKNKCGKGHSEDTVTSGLEGAWSSNPTKWTMEYLTWLYTFDWVQTKSPAGHIQWTPADDKAANLVPDAHLPDKRHAPMMFTSDIALKEDPIYREITTRFLKNPQEFELAFAKAWFKLTHRDMGPKARYLGADVPAEMLIWQDPIPALDHPVIDNADIKALGNKILASGLTVPELVRTAWASASSFRGTDMRGGANGARIRLEPMMNWQANNPKELAKVLAKLEKVQKDFNGSLKGGKKVSLADVIVLGGSVAVEKAAKEAGVTVSVPFTPGRMDATQAQTDVSSFAVLEPTADGFRNYYSKDSSHSPAEMLIERANMLNLTVPEMTVLVGGLRALGANSAGVKHGVFTDKPGTLSNDFFVNLLDMSTKWSKSEKQEGIYEGQDRKSGKLKWTATPVDLVFGSHSELRAVSEVYGAQDGQDRFVQDFIKAWNKVMNADRFDI