Q9I0I9 AF NFT

NADH-quinone oxidoreductase subunit N

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedb4g655su6bghpl2ejnssppf3s7v2qcun3bf7ssafxab6kv5kjy/metadata.json
IPFS of structure file: 
bafybeieb37z6krbvtjyjpsenb6b4c3wyujsoev2to6bm4zmri2fcm6iy2y/AF-Q9I0I9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2eAC6d79a7D4dcA1163F6C3Ea06Efd0F18E1FC83
First NFT owner address (bech32): 
genesis196kx67d86nw2z93ldsl2qmhapuvwrlyrxuen9z
Current NFT ID #277282 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
277282
Accession (UniProt):
Q9I0I9
Name::
NADH-quinone oxidoreductase subunit N
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 Q9I0I9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I0I9|NUON_PSEAE NADH-quinone oxidoreductase subunit N OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=nuoN PE=3 SV=1 MTFTIQHFIALLPLLITSATLVVVMLAVAWKRNHSFTATLSVIGLNLALLSLLPVLGVTPIEVTPLVLVDNYACFYMALVLVSALACVTLAHAYMESYPGNREELYLLLLLATAGGLVLVSAQHLASLFIGLELLSVPVYGMVAYAFFNKRSLEAGIKYTVLSAAGSAFLLFGMALLYAESGTLGFAGLGAKVAEHVLSGPLVSVGVGMMLVGLGFKLSLVPFHLWTPDVYEGAPAPVSAFLATASKVAVFAVLLRLFQIAPAALDNQLLNISLSVIAVASILFGNLLALTQSNIKRLLGYSSIAHLGYLLVALIASKGMAVEAVGVYLATYVLTSLGAFGVITLMSTPYSGRDADALFEYRGLFWRRPVLTAVMTVMMLSLAGIPLTAGFIGKFYVIAVGVESHLWWLIGALVLGSAIGLYYYLRVMVTLFLVEPGIRQHDAPFNWGQRAGGIMLVAIALLAFFLGVYPQPLLEILQHSGLALAG