Q5HK63 AF NFT

Potassium-transporting ATPase potassium-binding subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaoekyk6v5xji3tnlwffkwl76v27vqbzpmwc44b4auhptc5a72ika/metadata.json
IPFS of structure file: 
bafybeidhuqmsqo5b4kw46v3iherchad4g6yw555yekpz3gh2jd4373jvp4/AF-Q5HK63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5f57163A7F1fa01D45359BDa541E09d1501B708F
First NFT owner address (bech32): 
genesis1tat3vwnlr7sp63f4n0d9g8sf69gpkuy0ujsj9w
Current NFT ID #200663 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
200663
Accession (UniProt):
Q5HK63
Name::
Potassium-transporting ATPase potassium-binding subunit
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 35984 / RP62A)

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 Q5HK63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5HK63|KDPA_STAEQ Potassium-transporting ATPase potassium-binding subunit OS=Staphylococcus epidermidis (strain ATCC 35984 / RP62A) OX=176279 GN=kdpA PE=3 SV=1 MSIVLFLIVFILLSLIVSRYLYSVALNVPSKIDVVFNPIEKLIYQLIGTKLEHMSGKTYIKHFLLFNGLMGGLSFVLLLIQQWLFLNPNHNLNQSVSLAFNTMASFLTNTNLQHYAGETDLSYLTQMCVITFLMFTSAASGYAVCIAMLRRLTGMTDVIGNFYQDITRFIVRVLIPFALIISLFLISQGTPQTLKGNLVIETLSGVKQTIAYGPMASLESIKHLGTNGGGFLGANSSTPFENPTYWSNYAEALSMMLIPGSLVFLFGRMLKTKLQIHPHAIMIFVAMFVMFIGFLVTCLYFEFAGNPVLHHLGIAGGNMEGKETRFGIGLSALFTTITTAFTTGTVNNMHDSLTPLGGMVPMVLMMLNAVFGGEGVGLMNMLIYVMLTVFICSLMIGKTPSYLGMKIEGKEMKLIALSFLVHPLLILVFSALAFIVPGASDALTNPQFHGVSQVLYEFTSSSANNGSGFEGLGDNTVFWNISTGIVMLLARYIPIVLQILIVSSLVNKKTYQQHTQDVPINNLFFSSVLIIFIILLSGLTFLPDLMLGPIGEQLLLHA