A5GAG2 AF NFT

Potassium-transporting ATPase potassium-binding subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicj3l6o7owfa77nrzjf5vyrgy3c7e5uj6y7r2ts2npmsw7vzug4tm/metadata.json
IPFS of structure file: 
bafybeidrkcqhyst752esgjntk6jesm6o2yesi3pzmpwsx2ecu3nazobwi4/AF-A5GAG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD990Dd514475fA05b661C6Bfc55B2BE59619c16d
First NFT owner address (bech32): 
genesis1mxgd652ywhaqtdnpc6lu2ketuktpnstdt7v50g
Current NFT ID #200558 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
200558
Accession (UniProt):
A5GAG2
Name::
Potassium-transporting ATPase potassium-binding subunit
Experimental Method:
Predicted structure
Sequence source:
Geotalea uraniireducens (strain Rf4)

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 A5GAG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5GAG2|KDPA_GEOUR Potassium-transporting ATPase potassium-binding subunit OS=Geotalea uraniireducens (strain Rf4) OX=351605 GN=kdpA PE=3 SV=1 MNPYEWLETILFFVVLLALIKPFGTYMAKVFQGERTLLSPVFVPCENLLYRICGVDKDDEMGWKRYACAMLLFNLVFAVSLFAMLLLQGILPLNPQKLPAFSWPLALNTAISFTTNTNWQNYGGEAAASYFTQMFGFAVHNFTSAATGIVIAIAAIRGLVRRKSSALGNFWVDTTRCTLYILLPLSLIAAIFLVSQGVIQNFSPYKTVPLVQATSFEKPRLDAKGTPIKDAKGNPVTESVTVKEVTIPMGPVASQEAIKELGTNGGGFFNANSAHPFENPTPLSNIFEVFLILLISGGLTYTFGRMAGNTRQGWALLAVMLAILILAIGVFYRAESSGNPLVAKLGVHGINMEGKETRFGLAGSALFATATTGTSCGAVNTMHDSLTPIGGMVPLSLILLSEVIFGGVGTGLYTMLAFVVIAVFVAGLMIGRTPEYLGKKIEVREMWMSITTVLASGILVLIFSGIAMILPAGVSSMNNSGAHGLSEVLYAFASMSNNNGSAFAGLNGNTLFYNLTGAVAMLLGRFVPAVAVLAMAGGLAEKKYVPPSLGTLPTDQAPFALWLTLVILIVGALTFFPALAMGPIAEQLIMMR