Q0KBB2 AF NFT

FMN-dependent NADH:quinone oxidoreductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdutanmxbb3d7wgz7qnxcxrsjtyp6sis4gp7rzpd7pp5r6i54vfy/metadata.json
IPFS of structure file: 
bafybeigk7zh5ok46qyckbq6p5r5xdesaz6vwlgxlt5hy32njcmjezend6e/AF-Q0KBB2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #39748 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39748
Accession (UniProt):
Q0KBB2
Name::
FMN-dependent NADH:quinone oxidoreductase
Experimental Method:
Predicted structure
Sequence source:
Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337)

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 Q0KBB2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0KBB2|AZOR_CUPNH FMN-dependent NADH:quinone oxidoreductase OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=azoR PE=3 SV=1 MNILQIDSSVLGDNSVSRSLTASVVADLVAATPDAKVTVRDLDQDAPAHLSGNLLPVLGGPKEGLSAIQEAELQRTEQWLAEFLAADVLVVGVPQYNFSIPSQLKAWIDRIAQAGRTFKYTENGPVGLAGGKRVIVVSSRGGVRQDANELDLHEKTVDIVFRFLGITDITYVRAHGLAMGPQFREAGLASARTEIAALNDASRLAA