Q4G4B1 AF NFT

Catalase-peroxidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5tyz3bz5nmvx5w2ych47bq3ivjfffainyn4jtvwxyopw7yhyxoq/metadata.json
IPFS of structure file: 
bafybeic2fsijoqehvv6t4ytpg2wt555hjahc7amfp4m5bhpxdggch6diw4/AF-Q4G4B1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC1C8C10cBBbf99f996D8e048D851Bf1a343f022d
First NFT owner address (bech32): 
genesis1c8yvzr9mh7vln9kcupyds5dlrg6r7q3dkurqaa
Current NFT ID #198533 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
198533
Accession (UniProt):
Q4G4B1
Name::
Catalase-peroxidase
Experimental Method:
Predicted structure
Sequence source:
EDWARDSIELLA TARDA

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 Q4G4B1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4G4B1|KATG_EDWTA Catalase-peroxidase OS=Edwardsiella tarda OX=636 GN=katG PE=3 SV=1 MGNNNEFSSGKCPVMHGGMTSAGMASKDWWPNALNLDILHQHDTKTNPMGQQFNYREALKQLDVQALKDDLRALMTDSQPWWPADWGHYGGLMVRMAWHSAGSYRIADGRGGAGTGNQRFAPLNSWPDNVNLDKARRLLWPIKKKYGNKISWADLIVLAGTMAYESMGLKTFGFAFGREDIWHPEIDTYWGSEKEWLAPSGSEGSRYSGERDLENPLAAVMMGLIYVNPEGVDGHPDPQKTANDVRVTFARMAMNDEETVALTAGGHTVGKCHGNGSAANLGAAPEGADLQEQGLGWNNHTTRGIDRDTVSSGIEGAWTSKPTQWDNGYFDMLLGHEWTLTKSPAGAWQWVPIQIAEEDKPVDVEDPSIRLLPIMTDADMAMKVDPTYRQIAERFRQDPAYFSDVFARAWFKLTHRDLGPKSRYFGPDVPQEALIWQDPVPAGRSEYDVAAVKAKIAASGLSIADMVSTAWDSARTFRGSDKRGGANGARIRLAPQNTWEGNEPARLAKVLAVLEPIAAEFNVSVADVIVLAGNLGIEQAAKAAGVAIEVPFAPGRGDATQAMTDEASFEVLEPLADGFRNWLKKDYVVTAEELLLDRAQLMRLTACEMTVLIGGMRVLGANYGGSKVGVFTDRIGVLSNDFFVNLTDMSYTWKPTASNLYEIRERANGALKWTASRVDLVFGSNSILRAYAEVYAQDDNKEKFVRDFVAAWTKVMNADRYDLR