Q9ZKA0 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihrmvhxwtqpsfnd5dpv2diwm4c6ffieetlfatd6ucl3xwrijz4x3i/metadata.json
IPFS of structure file: 
bafybeicvnjuddk5iyey4r2m74zwi25r6v2aaamwhfxyboowi4dppp32fqa/AF-Q9ZKA0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #493326 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
493326
Accession (UniProt):
Q9ZKA0
Name::
UvrABC system protein B
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 Q9ZKA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZKA0|UVRB_HELPJ UvrABC system protein B OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=uvrB PE=3 SV=1 MPLFDLKSPYPPAGDQPQAIEALTKSLKNNNHYQTLVGVTGSGKTYTMANIIAQTNKPALIMSHNKTLCAQLYSEFKAFFPHNRVEYFISHFDYYQPESYIPRRDLFIEKDSSINDDLERLRLSATTSLLGYDDVIVIASVSANYGLGNPEEYLKVMEKIKVGEKRAYKSFLLKLVEMGYSRNEVVFDRGSFRATGECVDIFPAYNDAEFIRIEFFGDEIERIAVFDALERNEIKRLDSVMLYAASQFAVGSERLNLAVKSIEDELALRLKFFKEQDKMLEYNRLKQRTEYDLEMISATGVCKGIENYARHFTGKAPNETPFCLFDYLGIFEREFLVIVDESHVSLPQFGGMYAGDMSRKSVLVEYGFRLPSALDNRPLKFDEFIHKNCQFLFVSATPNKLELELSQKNVAEQIIRPTGLLDPKFEVRDSDKQVQDLFDEIKSVVARGERVLITTLTKKMAEELCKYYAEWGLKVRYMHSEIDAIERNHIIRSLRLKEFDVLIGINLLREGLDLPEVSLVAIMDADKEGFLRSETSLIQTMGRAARNANGKVLLYAKKTTQSMQKAFEITSYRRAKQEEFNKIHNITPKTVTRALEEELKLRDDEIKIAKALKKDKMPKSEREKIIKELDKKMRERAKNLDFEEAMRLRDEIAQLRTL