A5G9I7 AF NFT

Probable potassium transport system protein kup

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic72vcjftm5t5e2n46exup7nzozj77fhuc665ncqqyfl54pwgdcmm/metadata.json
IPFS of structure file: 
bafybeidvmyjt3ewrw5fu7esympan6tuhgxk5pwtwecp47zw65mkdwvat5q/AF-A5G9I7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDAaB27434aDA8f5F5E5A6A9379845f7Dfb328c8b
First NFT owner address (bech32): 
genesis1m24jws62m2847hj6d2fhnpzl0han9rytfzl4sh
Current NFT ID #206282 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
206282
Accession (UniProt):
A5G9I7
Name::
Probable potassium transport system protein kup
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 A5G9I7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5G9I7|KUP_GEOUR Probable potassium transport system protein kup OS=Geotalea uraniireducens (strain Rf4) OX=351605 GN=kup PE=3 SV=1 MKKHTESYWEGVVKSMGLVFGDIGTSPIYTLTVIFALTKPTEANVFGILSMVVWTLIILVTVEYAWLAMSLGRKGEGGTIVLKEILIRLLKPGRQIAFVGFLSFVGVSLLLGDGVITPAISILSAVEGLVLIPGLESMRLGTLILIAALIAVVLFIFQFKGTDKVAAAFGPLMVLWFGALTVSGLVSIATFPKILGAVSPHYAINFFRDNGISAFFVLSEVILCATGGEALYADMGHLGRRPIIRAWYFVFVALIINYLGQGAFALQHGDAKNFLFNMVQGQSQLLYIPFLILTILATVIASQALISGVFSIVYQGITTRIMPLMKVDYTSSHLKSQIYIGSVNWFLMLLVIFIMLIFQKSENLAAAYGLAVTGTMTITGIMMTIIFAHTTKKWKVPVAVAVTIVDVVFLISNLNKLPHGGYWSIILASVPFATILIWTKGQQALYRALKPLDMETFLLSYEQIYAKGKNITGTGLFFTREWNVIPPYVVHCIIRSNIIYERNIFISIVRTDEPFGLKSELKTGFGPGLDAFEIKAGYMEVIDIEKLLKKHDIQEKVIFYGIEDIATMNPVWRVFSVIKKLTPNFVQFNKLPASKLQGVVTRVEM