A9R072 AF NFT

Autoinducer-2 kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgeww7ts744lnxc2mqfdh4rdm57ymdh33ifokyl22knut6r2nfla/metadata.json
IPFS of structure file: 
bafybeice6iv6kmq7rkd2enzgnqtpktqyinfjxvy2z3q2hmz44beo4wpi5i/AF-A9R072-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x934f84D099E5FEaBA89bC58DBEB7366EFF6BF871
First NFT owner address (bech32): 
genesis1jd8cf5yeuhl2h2ymckxmadekdmlkh7r3fcyd0m
Current NFT ID #220948 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
220948
Accession (UniProt):
A9R072
Name::
Autoinducer-2 kinase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R072 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R072|LSRK_YERPG Autoinducer-2 kinase OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=lsrK PE=3 SV=1 MSQLDTTTPSGDYLMALDAGTGSVRAVIFDLNGNQIAAGQAEWLHLPVPDVPGSMEFDLTTNWQLTCQCIRQALHLAKLPASAIRAVAACSMREGIVLYDRSGTPIWACANVDARASREVSELKELHNNGFELEIYQCSGQTLALSAMPRLLWLAHYRPDIYRQAGTLTMISDWLANMLSGELAVDPSNAGTTGMLDLVTRNWQPNLLEMAGLRADILSPVKETGTLLGHVTAKAAQECGLLAGTPVVMGGGDVQLGCLGLGVVHAGQTAVLGGTFWQQVVNLPQPIIDPNMNTRINPHVIPGMVQAESISFFTGLTMRWFRDAFCAEEKLLAQRLGIDTYSLLEDMAARVPAGAYGVMPIFSDVMQFKSWYHAAPSFINLSLDPEKCNKATLFRALEENAAIVSACNLAQIAEFSGVKASSVVFAGGGAKGKLWSQILADVTGVPVKVPVVKEATALGCAIAAGVGVGLYEALDKTGERLVRWEREYIPNTEHKALYQAAKTNWQAVYTDQLGLVDCGLTTSLWKAPGL