Q1RKE6 AF NFT

NADH-quinone oxidoreductase subunit L

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4ivqdsfkzqc46bpfldjin4ghsua72jdi2rrccskaoq62pmy5lby/metadata.json
IPFS of structure file: 
bafybeigqcjvfki47d5422jolpjz6w4xkuso2fyrpuovrbfsukdelqg7tcm/AF-Q1RKE6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe35916812bf8eD8a10C099573e7bab220EE9feB9
First NFT owner address (bech32): 
genesis1udv3dqftlrkc5yxqn9tnu7atyg8wnl4eruup86
Current NFT ID #277084 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
277084
Accession (UniProt):
Q1RKE6
Name::
NADH-quinone oxidoreductase subunit L
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA BELLII (STRAIN RML369-C)

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 Q1RKE6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1RKE6|NUOL_RICBR NADH-quinone oxidoreductase subunit L OS=Rickettsia bellii (strain RML369-C) OX=336407 GN=nuoL PE=3 SV=1 MYKSIAIMIILLPLASALINGLFVRRIDKKLASIVATSFLSLSALFALIIFYHTGLNGHIIHIKLLPWIEVSQFKVDWSIYIDQLTSIMFIAVTWVSSVVHIYSLGYMSRDKGIVRFLSFLSLFTFFMLMLVSADNFLQLFFGWEGVGICSYLLIGFWYSKESANKAAIKAFIANRVGDFAFILGVITIIFYCHSANYEDVFLLAPKLANTKILLADFEISILDIACLLLFIGCMGKSAQIGLHVWLPDAMEGPTPVSALIHAATMVTAGVFLVARCSYLFEYSPMVLQFITIIGGITCLFAASIAIMQNDIKKIIAYSTCSQLGYMFMACGVSAYNSGIFHLVTHAFFKALLFLSAGSVIHAVHEQDIFKMGELRNKMPITYGNFLIGSLALIGIYPLAGFYSKDSILEAAYSSGSFMFIFGILAAILTAIYSMKIIMLVFHGKTRLEKDVFEHAHEPPKVMNNPLTLLVAGSFFSGMIGYYLLSMDKPNGYFHDSLLNLHAYKLLITHPPLHIKLLPMVVGIIGIVVGIYLYKSDVVMSFLRRQESSKDNYFTKILINKYYFDELYNFLIVKPINCLACLFYSGDQKIIDRFGPNGFARSVNCFSRLTGKTQTGYVFNYTLYVVLFVVVTISYFVWLVAV