C1A1E9 AF NFT

Potassium-transporting ATPase potassium-binding subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesf764ed5bmcems7kepd7hicgw3wzxpae4qvqw7ukqhn2yykx2oe/metadata.json
IPFS of structure file: 
bafybeifrzwcj6vrc5jrq35pfoguywy6ebzjktjridefa6i2vg5gep4ekpa/AF-C1A1E9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8719F119347D3c1a2ffc2ea3A2408f52f4c89F2A
First NFT owner address (bech32): 
genesis1suvlzxf5057p5tlu9636ysy02t6v38e2aejveg
Current NFT ID #200625 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
200625
Accession (UniProt):
C1A1E9
Name::
Potassium-transporting ATPase potassium-binding subunit
Experimental Method:
Predicted structure
Sequence source:
Rhodococcus erythropolis (strain PR4 / NBRC 100887)

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 C1A1E9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1A1E9|KDPA_RHOE4 Potassium-transporting ATPase potassium-binding subunit OS=Rhodococcus erythropolis (strain PR4 / NBRC 100887) OX=234621 GN=kdpA PE=3 SV=1 MSPALAAGLQIAFVLAVLAIAYVPVGDYMARVYSSTRDLRVESVIYRVGRIDSRAEQTWYGYAASVLGFSLASALFLYFLQRIQGVLPLSDGLSGVSPAVAFNTAISFVANTNWQSYTPETTMSNFVQPVGLAVQNFVSAAVGMAVAIALVRGFIRVARGGEIGNFWVDLTRGSLRILLPFSFVIALILLSQGVIQSFHSGFASTGLDGNAVTNALAPVASQEAIKELGTNGGGILAANSAHPFENPTPLSNIVEILAILLIPVCLTRTFGTLVGDRRQGLTLLAVMGILWSGLLAVTLAAESGARGVAATAAGSMMEGKEVRFGIPGSALFAVATTGTSTGAVNSAHDSMSPLGGGAVLLNMLLGEIAPGGVGTGLYGILVLALIAVFVGGLLVGRTPEYLGKKLGRREITLAALSILVMPALVLIGTAITVILGSTTGYQGNGGDPGTPGSIHGFSEVLYAFASASNNNGSAFGGLTVTSDWFQSSLGICMLLGRFLPIIFVLALAGALASQKKVAPTAGTLPTSGPMFTGLLTGTVVLVAALTFFPALALGPLAEALQ