A7FMJ5 AF NFT

Autoinducer-2 kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqvfljpkazgodfa2l4oznk3bphlcpwnyf4cb4kimuyg3o4zo2rm4/metadata.json
IPFS of structure file: 
bafybeiftbxmg6dkqns4eqlj5aah7ws2v7aik22gcig72to6z2wu5d5qf7y/AF-A7FMJ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x463Be372c11f96eeBDBC4baa0AB3805D50aD7Ccd
First NFT owner address (bech32): 
genesis1gca7xukpr7twa0dufw4q4vuqt4g26lxddh7d5q
Current NFT ID #220944 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
220944
Accession (UniProt):
A7FMJ5
Name::
Autoinducer-2 kinase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype O:1b (strain IP 31758)

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 A7FMJ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7FMJ5|LSRK_YERP3 Autoinducer-2 kinase OS=Yersinia pseudotuberculosis serotype O:1b (strain IP 31758) OX=349747 GN=lsrK PE=3 SV=1 MSQLDTTTPSGDYLMALDAGTGSVRAVIFDLNGNQIAAGQAEWLHLPVPDVPGSMEFDLTTNWQLTCQCIRQALHLAKLPASAIRAVAACSMREGIVLYDRSGTPIWACANVDARASREVSELKELHNNGFELEVYQCSGQTLALSAMPRLLWLAHYRPDIYRQAGTLTMISDWLANMLSGELAVDPSNAGTTGMLDLVTRNWQPNLLEMAGLRADILSPVKETGTLLGHVTAKAAQECGLLAGTPVVMGGGDVQLGCLGLGVVHAGQTAVLGGTFWQQVVNLPQPIIDPNMNTRINPHVIPGMVQAESISFFTGLTMRWFRDAFCAEEKLLAQRLGIDTYSLLEDMAARVPAGAYGVMPIFSDVMRFKSWYHAAPSFINLSLDPEKCNKATLFRALEENAAIVSACNLAQIAEFSGVKASSVVFAGGGAKGKLWSQILADVTGVPVKVPVVKEATALGCAIAAGVGVGLYEALDKTGERLVRWEREYIPNTEHKALYQAAKTNWQAVYTDQLGLVDCGLTTSLWKAPGL