Q65EW6 AF NFT

FMN-dependent NADH:quinone oxidoreductase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia276zmk5riy6m3yljx4udwmefu6tmz6rmmmljtibmwyoz4fl3xkm/metadata.json
IPFS of structure file: 
bafybeiga3qpg2vljr4gcruuoknqp6solar4q7jhbuzmkohygq4p6zjyw6u/AF-Q65EW6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc581CbC9cc939670cC5C03b5884a0d4fAe1DF8e7
First NFT owner address (bech32): 
genesis1ckquhjwvjwt8pnzuqw6csjsdf7hpm788k8awtu
Current NFT ID #39654 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39654
Accession (UniProt):
Q65EW6
Name::
FMN-dependent NADH:quinone oxidoreductase 2
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65EW6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65EW6|AZOR2_BACLD FMN-dependent NADH:quinone oxidoreductase 2 OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=azoR2 PE=3 SV=1 MTKTLYITAHPHDERASYSMAAGKAFIESYKEAHPDDEVIHLDLYRENIPQIDADVFSGWGKLQSGSGFEQLSEHEKAKVGRLNELSEQFIAGDKYVFVTPLWNFSFPPVMKAYFDAVAVAGKTFKYTEQGPIGLLTDKKALHIQARGGYYSEGQAAELEMGHRYISIMMQFFGVPEFEGLFIEGHNAEPDKAEEIKQNAIVRAKELGRTF