Q98KL7 AF NFT

Probable potassium transport system protein kup 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibo437ypcmhsfkowveagys2lprt7gazylse6zguduoqfj5ry4gmz4/metadata.json
IPFS of structure file: 
bafybeibyvpgnrqvay3lb3dcgadmzzxmzu3jjuna725oivvxadh4i5phjrq/AF-Q98KL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #206161 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
206161
Accession (UniProt):
Q98KL7
Name::
Probable potassium transport system protein kup 2
Experimental Method:
Predicted structure
Sequence source:
MESORHIZOBIUM JAPONICUM (STRAIN LMG 29417 / CECT 9101 / MAFF 303099)

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 Q98KL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q98KL7|KUP2_RHILO Probable potassium transport system protein kup 2 OS=Mesorhizobium japonicum (strain LMG 29417 / CECT 9101 / MAFF 303099) OX=266835 GN=kup2 PE=3 SV=1 MDLASRDSEAETVEQSSHSGAEQHSTKVLMLGALGVVYGDIGTSPIYAFREALHASPGIDTRAQVLGVLSLIVWALTIIVTIKYVAFVLRADNKGEGGTLSLMSLARTAYPKGARLILAIGLCGAALFFGDSIITPAISVLSAVEGLRVVTPTLDPYVVPITLLILAILFSVQRFGTGKVAAVFGPVTALWFLAIGVAGLYHLLDDPSILLAINPYYAVTYLASTPTAAFVTVGAVFLAVTGAEALYVDLGHFGRKPIVLAWFSVVFPCLLLNYFGQGAFVLANGGRPTNPFFQMLPDWALMPMVGLATAATVIASQAVISGAFSLTRQAVQLNLLPRIEVQHTSEMQLGQIYMPRINLLVALGVMLLVVGFGSSSSLASAYGISVTGEMLMTTILLFVVMRKLWKWRLAVALPLTLLFGIIDSGFFLANIVKIFEGGWVSITVACLMGLIMWTWIRGTRYLFDKTRRNEIPLDFLAANLLKKKPHLVPGTAVFLTSDPLSAPTALMHSLKHYKVLHEQNVILSVVTAPQPVVSDSDRVKMETVNDLFMRVTLTFGYMEQPNIPRALAICRKRGWKFDIMTTSFFLSRRSLKASPNSGMPVWQDRLFIGLARTAADATEYFQIPTGRVVEIGTQVAI