Q68VV7 AF NFT

NADH-quinone oxidoreductase subunit L

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiai3uksrwukbrsnu4clr3ujyg5x6wu6shukkii6r5qqpasy67gncq/metadata.json
IPFS of structure file: 
bafybeidjctelybracr5m3pct2kmxgyzjmncpdarlpzt53whjliuqj56g3e/AF-Q68VV7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #277088 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
277088
Accession (UniProt):
Q68VV7
Name::
NADH-quinone oxidoreductase subunit L
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA TYPHI (STRAIN ATCC VR-144 / WILMINGTON)

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 Q68VV7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q68VV7|NUOL_RICTY NADH-quinone oxidoreductase subunit L OS=Rickettsia typhi (strain ATCC VR-144 / Wilmington) OX=257363 GN=nuoL PE=3 SV=1 MIHQNLAIMIIILPLVSSVINGLFLNRIDKKLAKIIAISFLLLSALFSLIIFCDATLVGKIIHIKLLPWIEFRNFKVNWSIYIDQLTSIMFIVVTFVSSVVHIYSLGYMANDKGIIRFLSFLSLFTFFMLMLVSADNFLQLFCGWEGVGVCSYLLIGFWYSKESANKAAMKAFITNRVSDFAFILGIITIIIYNGSANYKDVFLSAKLLSNTKILVHFSILDIICLLLSIGCIGKSAQIGLHVWLPDAMEGPTPVSALIHAATMVTAGIFLVARCSYLFEYSPIVLQFITIIGGITCLFAASIAIMQSDIKKIIAYSTCSQLGYMFMACGVSSYNSAIFHLVTHAFFKALLFLSAGSVIHSVNEHNIFKMGNLINKMPITYGNFLIGSLALIGIYPLSGFYSKDLILEAAYSSGSFMFIFGITAAMLTAIYSMKIIILVFHGKTKLEKDVFEHAHEPTKTMNNPLILLVAGSFFSGMLGYYLLSMNKPNGYFHESLFNLHIYKLLINHTPLYIKLLPMAVGIVGIVIGICLYKDSLPYHDALTNKSNKSKKDWIPQSNYKMILFIPNILRNKYYFDEIYNYLIIKPIHCLAYLFYLGDQKIIDRFGPNGFARVINYFCALTCKIQTGYIFNYALYIVSFIVITISYFVWKSIY