Q9PJF4 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia3psrjltifwvtbnrzs436bwtblx6jtuwtn7kopmodppdb2wncacy/metadata.json
IPFS of structure file: 
bafybeidnaipp5qybqcbkafikgitfogseasbfrvzbwrfrbyh6tb2qrypb5y/AF-Q9PJF4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x427d5a22F911DF7f494c88aD08F7A4138f3240Fb
First NFT owner address (bech32): 
genesis1gf745ghez80h7j2v3zks3aayzw8nys8m5wur44
Current NFT ID #493241 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493241
Accession (UniProt):
Q9PJF4
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
Chlamydia muridarum (strain MoPn / Nigg)

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 Q9PJF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PJF4|UVRB_CHLMU UvrABC system protein B OS=Chlamydia muridarum (strain MoPn / Nigg) OX=243161 GN=uvrB PE=3 SV=1 MTHYHNPLNGRKVLNQQFVLQAPFLPCGDQPEAIRQLSRGILDGIPSQVLLGTTGSGKTFTMANVIANVNVPTLVLAHNKTLAAQLYQEFKAFFPENAVEYFISYYDYYQPEAYIARSDTYIEKSLLINDEIDKLRLSATRSILERRDTLIVSSISCIYGIGSPDNYSSMALILEVGKEYPRSQLSAQLVRMHYQASASPQRSAFRERGSVIDIFLAYESDLAVRLEFVNDTLVSIEYTDPLTMIPSHTVPSVTLYPGSHYVTPEAVREQAIRTIREELEQRLLFFEGRPVEQERLFQRTTHDIEMIKEIGFCKGIENYSRHFTGAAPGEPPTCLLDYFPEDFLLIIDESHQTLPQLRAMYRGDQSRKQSLVEYGFRLPSAFDNRPLTYEEARRYFRRVVYVSATPGELEVQESRGHIIEQIIRPTGIPDPLPEIRPATGQIDDLLEEIRQRLRKDQEKILVVSVTKKLAEDIAAFLAELGIAAAYLHSGIETAERTQILTDLRLGTIDVLIGVNLLREGIDLPEVSLVAILDADKEGFLRSSASLIQFCGRAARNVHGKVIFYADRITPSMDHMLKETERRRQIQLDYNKKHNITPKPIIKPILANPITKEGAQEDSRPETQSTEDLESSIKQYEEAMYKAAQDFQFDEAAKYRDLMNAAKRQLLFKQGEDGNSK