P94846 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia26bdctikvekvv5fkq3k5rtd2jucipvflwfo6g2b7sxx43nnkti4/metadata.json
IPFS of structure file: 
bafybeigzbka7kmgbskvazklrny5bni57tikcabhp7j36wvqi5whggwdgju/AF-P94846-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16ABDdce0887F91E816081FB1f19F9F016a5f311
First NFT owner address (bech32): 
genesis1z64amnsgslu3aqtqs8a37x0e7qt2tuc3u75zzz
Current NFT ID #493327 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
493327
Accession (UniProt):
P94846
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN ATCC 700392 / 26695)

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 P94846 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P94846|UVRB_HELPY UvrABC system protein B OS=Helicobacter pylori (strain ATCC 700392 / 26695) OX=85962 GN=uvrB PE=3 SV=2 MPLFDLKSPYPPAGDQPQAIEALTKSLKNNNHYQTLVGVTGSGKTYTMANIIAQTNKPALIMSHNKTLCAQLYSEFKAFFPHNRVEYFISHFDYYQPESYIPRRDLFIEKDSSINDDLERLRLSATTSLLGYDDVIVIASVSANYGLGNPEEYLKVMEKIKVGEKRAYKSFLLKLVEMGYSRNEVVFDRGSFRATGECVDIFPAYNDAEFIRIEFFGDEIERIAVFDALEKNEIKRLDSVMLYAASQFAVGSERLNLAIKSIEDELALRLKFFKEQDKMLEYNRLKQRTEHDLEMISATGVCKGIENYARHFTGKAPNETPFCLFDYLGIFEREFLVIVDESHVSLPQFGGMYAGDMSRKSVLVEYGFRLPSALDNRPLKFDEFIHKNCQFLFVSATPNKLELELSKKNVAEQIIRPTGLLDPKFEVRDSDKQVQDLFDEIKLVVARGERVLITTLTKKMAEELCKYYAEWGLKARYMHSEIDAIERNHIIRSLRLKEFDILIGINLLREGLDLPEVSLVAIMDADKEGFLRSETSLIQTMGRAARNANGKVLLYAKKITQSMQKAFEITSYRRAKQEEFNKIHNITPKTVTRALEEELKLRDDEIRIAKALKKDKMPKSEREKIIKELDKKMRECTKNLDFEEAMRLRDEIAQLRTL