Q92J03 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesc7iot3syanlugk47ufub4hj5w7dtxmfdbw7okllx5ofooke5wu/metadata.json
IPFS of structure file: 
bafybeiajg33kktd3ugbviujpvyhyd7nxr5nd6f6zyu3v6p7ywhgf74ivlq/AF-Q92J03-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #493432 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
493432
Accession (UniProt):
Q92J03
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 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 Q92J03 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92J03|UVRB_RICCN UvrABC system protein B OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=uvrB PE=3 SV=1 MNNFSIISEYKPAGDQPKAIDEIIAGLSSKKRSQMLLGITGSGKTFTMANIIERTNRPTLIMAHNKTLAAQIYSEMKSLFPKNAVEYFVSYYDYYQPEAYIARTDTFIEKDSSINEQIDLMRHAATRSLLERRDVIVVSSVSCIYGLGSPDLYYQMMVNLEPGQSYPRDQLLNDLINLQYERNDIGFERGCFRVKGDNIDIFPSHYSDKAWRLSFFGNELEYIHEFDPLTGEKLAKLDKAMVFGNSHFVMPQETVNNAISGIEEELQKRLEFLKSQDKPLETQRLNQRTQYDLEMLTETGSCKGVENYSRFFTGRNAGEPPPTLFEYLPEDALLFVDESHVSVPQIRAMYNGDRARKKVLVEHGFRLPSALDNRPLKFEEWDKFRPQTVFVSATPGPFELEETGGTVVELIIRPTGLLDPECIIKPATNQVEDLISEIQTTIAQGFRVLVTTLTKKMAEDLTAYLQELKYKTSYLHSNVHTLERIEILRDLRQGTIDVLVGINLLREGLDIPECGLVAILDADKEGFLRSEVSLIQTIGRAARNSAGRVILYADKMTKSIDKAVSETLRRRQIQQEYNEKHGIIPKTINRAIHALAEFEKIDSKLDKKQAHTLFDNPAKLKTHIDKLKKEMLKAASNLEFEQAVKLRDQLKTLEEAALELS