Q1C142 AF NFT

Autoinducer-2 kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieoqhz3xi2evslylbztflsnf2st7asfu2zgpwq62gdymaam46uzwe/metadata.json
IPFS of structure file: 
bafybeihwlww3m7v3z26hbpqxnmbz4kcteoh6g7fk7wls44v7bk776laosi/AF-Q1C142-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x167C74E26f98Af17d629E9e0a9455d97c33EA927
First NFT owner address (bech32): 
genesis1ze78fcn0nzh3043fa8s2j32ajlpna2f8lmpr89
Current NFT ID #220945 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
220945
Accession (UniProt):
Q1C142
Name::
Autoinducer-2 kinase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C142 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C142|LSRK_YERPA Autoinducer-2 kinase OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=lsrK PE=3 SV=1 MSQLDTTTPSGDYLMALDAGTGSVRAVIFDLNGNQIAAGQAEWLHLPVPDVPGSMEFDLTTNWQLTCQCIRQALHLAKLPASAIRAVAACSMREGIVLYDRSGTPIWACANVDARASREVSELKELHNNGFELEVYQCSGQTLALSAMPRLLWLAHYRPDIYRQAGTLTMISDWLANMLSGELAVDPSNAGTTGMLDLVTRNWQPNLLEMAGLRADILSPVKETGTLLGHVTAKAAQECGLLAGTPVVMGGGDVQLGCLGLGVVHAGQTAVLGGTFWQQVVNLPQPIIDPNMNTRINPHVIPGMVQAESISFFTGLTMRWFRDAFCAEEKLLAQRLGIDTYSLLEDMAARVPAGAYGVMPIFSDVMRFKSWYHAAPSFINLSLDPEKCNKATLFRALEENAAIVSACNLAQIAEFSGVKASSVVFAGGGAKGKLWSQILADVTGVPVKVPVVKEATALGCAIAAGVGVGLYEALDKTGERLVRWEREYIPNTEHKALYQAAKTNWQAVYTDQLGLVDCGLTTSLWKAPCL