Q9K997 AF NFT

Probable C4-dicarboxylate sensor kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpvz6kmqxqsa6tihqvayz3jrmm3436m5rbvcvxr3fohhulzrslai/metadata.json
IPFS of structure file: 
bafybeig4y53ifhpt6dbdkgyyodmh3uc6ewp72q53zqml5dfooqrvlg3724/AF-Q9K997-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #91993 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
91993
Accession (UniProt):
Q9K997
Name::
Probable C4-dicarboxylate sensor kinase
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9K997 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9K997|DCTS_ALKHC Probable C4-dicarboxylate sensor kinase OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=dctS PE=3 SV=1 MRLFRQLSIQWKITILSFGIVAFALMMVSISLLGYVTSIKEDELSNRTMITAQLVAQNHTVQQWVDAKPEEASRTLQPIVERIRVINDHDYIVLLNMDRIRITHPIPERLQTPFVGGDEDPAFAEHIYLSKAKTEGVVTVRAFMPILNQQREQVGVAVVGSVLPSYADMIQEFWQPALLIGLITALFGFWGSWLLASHIKRQTFNMEPDELAHLLVERDASFNAIHEGVVAINKHEKITIMNEAARRMLGVKEKAIGRNIHEVIPDTKLPEILSIGKPLYQREFYIQGRLVFSNRIPIQIDGETVGAIAIFQDKSDVDRLAEELTGVQAFVDALRVQNHEYSNKLHTIAGLIQLDEGKKALQYIFDLEEEQEEFSGVVMQKIHNDSLAGLLLGKVSRGKELGVQVIIEKDSEFIDHPEGVTTHDLVVIVGNLIDNSLDAFSSTQDQNKTVHVFIGEENDFLKIRVRDNGEGIREEVREKMFVRGFSTKSTSGRGIGLFLIQAIVERVEGKIEVESELNIGTTFSIYLPKKRG