Q0WJP7 AF NFT

Autoinducer-2 kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeierrkpn3frllvkl4gf6wtl4ag44rxj3ck65qag42nouxema7l5atu/metadata.json
IPFS of structure file: 
bafybeihekolvd6ylgria5czbrpwnybb6hejw7ypevt5fiyo56sitjve3hm/AF-Q0WJP7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x637fD0E86250fE121bcc4b1CfFc157170e5aDF8A
First NFT owner address (bech32): 
genesis1vdlap6rz2rlpyx7vfvw0ls2hzu894hu2rm0aa8
Current NFT ID #220947 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
220947
Accession (UniProt):
Q0WJP7
Name::
Autoinducer-2 kinase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q0WJP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WJP7|LSRK_YERPE Autoinducer-2 kinase OS=Yersinia pestis OX=632 GN=lsrK PE=3 SV=1 MSQLDTTTPSGDYLMALDAGTGSVRAVIFDLNGNQIAAGQAEWLHLPVPDVPGSMEFDLTTNWQLTCQCIRQALHLAKLPASAIRAVAACSMREGIVLYDRSGTPIWACANVDARASREVSELKELHNNGFELEVYQCSGQTLALSAMPRLLWLAHYRPDIYRQAGTLTMISDWLANMLSGELAVDPSNAGTTGMLDLVTRNWQPNLLEMAGLRADILSPVKETGTLLGHVTAKAAQECGLLAGTPVVMGGGDVQLGCLGLGVVHAGQTAVLGGTFWQQVVNLPQPIIDPNMNTRINPHVIPGMVQAESISFFTGLTMRWFRDAFCAEEKLLAQRLGIDTYSLLEDMAARVPAGAYGVMPIFSDVMRFKSWYHAAPSFINLSLDPEKCNKATLFRALEENAAIVSACNLAQIAEFSGVKASSVVFAGGGAKGKLWSQILADVTGVPVKVPVVKEATALGCAIAAGVGVGLYEALDKTGERLVRWEREYIPNTEHKALYQAAKTNWQAVYTDQLGLVDCGLTTSLWKAPCL