B9K2I3 AF NFT

Potassium-transporting ATPase potassium-binding subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidkezei46axxo24dadglvsmskawbzfmy4rr4xuld4u5kiqsojrszy/metadata.json
IPFS of structure file: 
bafybeicki7mewkdsyvxodulw3scytpwagcuiehhdgbbefaf7qmlfxxhwzi/AF-B9K2I3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1877Ad840Fa4414E25a1d686021eA644bBcE92D5
First NFT owner address (bech32): 
genesis1rpm6mpq053q5ufdp66rqy84xgjauayk4nlnswh
Current NFT ID #200468 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
200468
Accession (UniProt):
B9K2I3
Name::
Potassium-transporting ATPase potassium-binding subunit
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM VITIS (STRAIN S4 / ATCC BAA-846)

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 B9K2I3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9K2I3|KDPA_AGRVS Potassium-transporting ATPase potassium-binding subunit OS=Agrobacterium vitis (strain S4 / ATCC BAA-846) OX=311402 GN=kdpA PE=3 SV=1 MSSNGWLQIGLLLALVFLTIKPLGLYIACVFEGQRTFLSPILGPLERLLLRISGVDARREQGWLAYTLAMLAFNAAGFLALYGILRLQAYLPYNPQGFAGMTPDLAFNTAISFVTNTNWQAYSGEQSASHFSQMAGLAVQNFLSAATGIAIALAVTRAFARSAANTLGNFWVDMTRSTLYLLLPMSIVLALVFVWMGIPQTLDASVTATTLDGAQQTIALGPIASQEAIKQLGTNGGGFFNANAAHPFENPSAISDYFNILAMMSITMALIYAFGKMVGDLRQGWALIASVAVLLIAGIAAVYIAETAGNPIHLALGLDPSFGNMEGKEVRFGQAMSAAYTAITTGISNGGVNTMHGSLTPLGGLVPLFLIQLGEILPGGVGSGLYGLIVFCVLTVFVAGLMVGRTPEFLGKKIEAREMKFAMLAVLVLPFAILGFSAIAAVLPNALASLGNAGPHGLSEILYAYTSAAGNNGSAFAGLSANTAWYNTTLGISMALGRFAYAVPVLAIAGSLAAKTKGTASAGTFPTHTPLFVGLLVAIIIILGGLQYFPALALGPIAEHVGMLAGTLY