A9H9I9 AF NFT

FMN-dependent NADH:quinone oxidoreductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifqqf2yc3s7hffzswodujiqonnww3dd6rq7iag35jo25erqoovwb4/metadata.json
IPFS of structure file: 
bafybeic4dehvutvcovxmrtu7cyg2o6dmmpooz56lm4nisjvvnc7aulu5zi/AF-A9H9I9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2ea681d9082FbcfC3DbDFec5C526D20Eca498da6
First NFT owner address (bech32): 
genesis196ngrkgg9770c0dalmzu2fkjpm9ynrdx9l46aq
Current NFT ID #39772 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39772
Accession (UniProt):
A9H9I9
Name::
FMN-dependent NADH:quinone oxidoreductase
Experimental Method:
Predicted structure
Sequence source:
Gluconacetobacter diazotrophicus (strain ATCC 49037 / DSM 5601 / CCUG 37298 / CIP 103539 / LMG 7603 / PAl5)

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 A9H9I9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9H9I9|AZOR_GLUDA FMN-dependent NADH:quinone oxidoreductase OS=Gluconacetobacter diazotrophicus (strain ATCC 49037 / DSM 5601 / CCUG 37298 / CIP 103539 / LMG 7603 / PAl5) OX=272568 GN=azoR PE=3 SV=1 MKLLHLDASILPEDSSVSRTLSAAVVAHVRALQPDLTVTRRDLVAHPLSHMTLANLPPDHPASVPGNEVERAESQAVLEEFLTADIVVIGAPMYNFTIPTQLKSWLDRVLVPGRTFKYGPEGVKGLVEGKRVIVALSRGSFYGQETPYATAEHTETYLRTALGFIGIATPEVIVAEGVSRGEDQRAAAIEAAHQTVAALRV