A4W6F3 AF NFT

Glutathione-regulated potassium-efflux system protein KefC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiceopaj5o2iomqll2solwsw635nkqs72aacydm5v3drkfalktocxm/metadata.json
IPFS of structure file: 
bafybeid7ipy66jpaah5mfzeru5ro67xnz4kaevzwtq3a5kgiukyqkxtvie/AF-A4W6F3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x51a88c9A74900bB364B9166372866665823d4B10
First NFT owner address (bech32): 
genesis12x5gexn5jq9mxe9eze3h9pnxvkpr6jcszqs3m5
Current NFT ID #201979 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
201979
Accession (UniProt):
A4W6F3
Name::
Glutathione-regulated potassium-efflux system protein KefC
Experimental Method:
Predicted structure
Sequence source:
Enterobacter sp. (strain 638)

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 A4W6F3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4W6F3|KEFC_ENT38 Glutathione-regulated potassium-efflux system protein KefC OS=Enterobacter sp. (strain 638) OX=399742 GN=kefC PE=3 SV=1 MDSHTLIQALIYLGAAALIVPVAVRLGLGSVLGYLIAGCIIGPWGFRLVTDAESILHFAEIGVVLMLFVIGLELDPRRLWKLRASVFGGGALQMIACGALLGGFCILLGMDWKVAELIGMTLALSSTAIAMQAMNERNLTVSQMGRSTFSVLLFQDIAAIPLVAMIPLLAVSGSSTTLGAFALSALKVAGALALVILLGRYVTRPLLRFVARSGLREVFSAVALFLVFGFGLLLEEAGLSMAMGAFLAGVLLASSEYRHALESDIEPFKGLLLGLFFIGVGMSVDFGTLVTHPLRILILLVGFLVIKMGMLWLIARPLNVPNRQRRWFAVLLGQGSEFAFVVFGAAQMANVLDPEWAKALTLAVALSMAVTPILLVLLTRLEQSGSEQDREADEIDEEQPRVIIAGFGRFGQISGRLLLSSGVKMVILDHDPDHIETLRKFGMKVFYGDATRVDLLESAGAAKAEVLINAIDDPLTNLQLAELAKEHFPNLKIISRARDVDHYIKLRQAGVETPERETFEGALKTGRMALEGLGLGAYEARERADLFRRFNLDMVEEMVEMADGDASSRAAAVKRTSAMLTEIINEDRNHLSLTQRHGWQGTEEGKHTGDPRDEPESKPTV