Q9X756 AF NFT

Glutathione-regulated potassium-efflux system protein KefC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexzb6yrwu5jdxiav7wv6zwkj4bn7loh74k2gld2s3w67tyxnodua/metadata.json
IPFS of structure file: 
bafybeianonz77zkedhnzxfm6kjozlfr24gnzs23mvq3q2wsvwisfmnwuia/AF-Q9X756-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7f2D6eD43Ec0f1b2F403c9c6AA34D467bD650c11
First NFT owner address (bech32): 
genesis10ukka4p7crcm9aqre8r25dx5v77k2rq3yyp94g
Current NFT ID #201981 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
201981
Accession (UniProt):
Q9X756
Name::
Glutathione-regulated potassium-efflux system protein KefC
Experimental Method:
Predicted structure
Sequence source:
KLEBSIELLA AEROGENES

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 Q9X756 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X756|KEFC_KLEAE Glutathione-regulated potassium-efflux system protein KefC OS=Klebsiella aerogenes OX=548 GN=kefC PE=3 SV=1 MDSHTLIQALIYLGAAALIVPIASVLGLGSVLGYLIAGCIIGPWALRLVNDAEAILHFAEIGVVLMLVAMGLELDPQRLWKLRASVFDGGALQMVACGVLIGLFCMLLGLRWQVAELIGMTLALSSTAIAMQAMNERNLTVSQMGRSAFAVLLFQDIAAIPLVAMIPLLAASGGATSLMAFALSALKVAAALALVVVLGRYLTRPLLRFVARSGLREVFSAVACSWSSALGLLLEEVGLSMAMGAFLAGVLLASSEYRHALENDIEPVKGLLLGLFFIGVGMSIDFAPWSPNPLRIVILLVGFPAIKMLMLWLIAQPLGVPRAQHRWFAVLLGQGSEFAFVVFGPARMADVLDGEWPKALTLAVALSMATTPILLVLLTRLEKSSSGQARDADEIDEEQPRVIVAGFGRFGQIAGRLLLSSGVKMVILDHDPDHVDTLRKFDMKVFYGDATRVDLLESAGAEKAEVLINAIDDPHVSLELVARVKEHFPHLQIISRARDVDHYIQLRQAGVEAPERETFEAALKSGRMTLEALGLGAYEARERPDLFRRFNLQMVEEMVAMAENDPRRGVAVFKRTSDMLTGIINEDRHHLSLVQRHGWQGTEEGRHTGDIADEPENKPSA