Q9I2E2 AF NFT

FMN-dependent NADH:quinone oxidoreductase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3ck4o2gijwxyjhqylqvubz7yekrrhsmdmad5enzkj2yrnwnihni/metadata.json
IPFS of structure file: 
bafybeicd5wejfpq533bkpqyph7enuggijx3iwcx4h5ka7db45twad43xn4/AF-Q9I2E2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x32487a5305f4984ca258817a77b56Dc58ab8670B
First NFT owner address (bech32): 
genesis1xfy855c97jvyegjcs9a80dtdck9tsectly3ckr
Current NFT ID #39672 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39672
Accession (UniProt):
Q9I2E2
Name::
FMN-dependent NADH:quinone oxidoreductase 2
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9I2E2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I2E2|AZOR2_PSEAE FMN-dependent NADH:quinone oxidoreductase 2 OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=azoR2 PE=1 SV=1 MKLLHIDSSILGDASASRQLSAELVQAWRQNEDGLDVTYRDLAADAVAHFSALTLAAGSTPAELRDAALKHEVAVGEEVLEEFLAADVVVIGAPMYNFTISSQLKAWIDRIAVAGKTFRYTENGPVGLAGDKKVVIVSTAGGVHAGQPTGAAHEGYLRTVLGFFGITDIEVVRAEGLAYGEEPRTQAIAAARRQIAGQFAAA