Q63CP4 AF NFT

FMN-dependent NADH:quinone oxidoreductase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4qulbqnbg4sbgn4kazqr32fspmkyu4zxbhjq6f3np4ydhn3bxjy/metadata.json
IPFS of structure file: 
bafybeihow3e75ovb5lvkp7vkkfstgkq7d4byzeq2yxvh2ywvmowp5yrxtu/AF-Q63CP4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0AACa73f331d590962E9c98677F8a4D4244A70A1
First NFT owner address (bech32): 
genesis1p2k2w0enr4vsjchfexr8079y6sjy5u9pu67y2f
Current NFT ID #39652 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
39652
Accession (UniProt):
Q63CP4
Name::
FMN-dependent NADH:quinone oxidoreductase 2
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

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 Q63CP4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63CP4|AZOR2_BACCZ FMN-dependent NADH:quinone oxidoreductase 2 OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=azoR2 PE=3 SV=1 MSKVLFVKANDRPAEQAVSSKMYETFVNTYKEANPNTEITELDLFALDLPYYGNIAISGGYKRSQGMELTAEEEKAVATVDQYLNQFLEADKVVFAFPLWNFTVPAPLITYISYLSQAGKTFKYTANGPEGLAGGKKVVVLGARGSDYSSEQMAPMEMAVNYVTTVLGFWGITNPETVVIEGHNQYPDRSQQIVEEGLENVKKVAAKF