Q66EY7 AF NFT

Autoinducer-2 kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibp5rniz5liqgj46elyer5piw3jkdkxhzaaetgwbsl7kridlqlljq/metadata.json
IPFS of structure file: 
bafybeihg3oogymewhnnvyvaq4alhlya5ubg6e7zshfxfy5gnpbvrvajiiy/AF-Q66EY7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x57A14A71dA98775FF2ecea0c86d95c44AEbd1B3b
First NFT owner address (bech32): 
genesis127s55uw6npm4luhvagxgdk2ugjht6xemyd8sqm
Current NFT ID #220951 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
220951
Accession (UniProt):
Q66EY7
Name::
Autoinducer-2 kinase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66EY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66EY7|LSRK_YERPS Autoinducer-2 kinase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=lsrK PE=3 SV=1 MSQLDTTTPSGDYLMALDAGTGSVRAVIFDLNGNQIAAGQAEWLHLPVPDVPGSMEFDLTTNWQLTCQCIRQALHLAKLPASAIRAVAACSMREGIVLYDRSGTPIWACANVDARASREVSELKELHNNGFELEVYQCSGQTLALSAMPRLLWLAHYRPDIYRQAGTLTMISDWLANMLSGELAVDPSNAGTTGMLDLVTRNWQPNLLEMAGLRADILSPVKETGTLLGHVTAKAAQECGLLAGTPVVMGGGDVQLGCLGLGVVHAGQTAVLGGTFWQQVVNLPQPIIDPNMNTRINPHVIPGMVQAESISFFTGLTMRWFRDAFCAEEKLLAQRLGIDTYSLLEDMAARVPAGAYGVMPIFSDVMRFKSWYHAAPSFINLSLDPEKCNKATLFRALEENAAIVSACNLAQIAEFSGVKASSVVFAGGGAKGKLWSQILADVTGVPVKVPVVKEATALGCAIAAGVGVGLYEALDKTGERLVRWEREYIPNTEHKALYQAAKTNWQAVYTDQLGLVDCGLTTSLWKAPGL