Q4FU62 AF NFT

NADH-quinone oxidoreductase subunit C/D

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaivk7tr2jgih6256qzizrkip46ot2bs2rwsdmdk4ecfcutn67x44/metadata.json
IPFS of structure file: 
bafybeihxphd5rmjoictpkbrb3ja2qymt4dxpldghlsdxaedmca6mblsq7a/AF-Q4FU62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD61E4B2Abb763e7149629bfc7B900FA271E466d5
First NFT owner address (bech32): 
genesis16c0yk24mwcl8zjtzn078hyq05fc7gek455c3vg
Current NFT ID #275271 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
275271
Accession (UniProt):
Q4FU62
Name::
NADH-quinone oxidoreductase subunit C/D
Experimental Method:
Predicted structure
Sequence source:
Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4)

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 Q4FU62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4FU62|NUOCD_PSYA2 NADH-quinone oxidoreductase subunit C/D OS=Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4) OX=259536 GN=nuoC PE=3 SV=1 MVTVVENIDPKIKPVPAVIKELEEKYAGKFVVQHTVDEIPTVWVARADLLDVLLFLRKLPKPYVMLFDLSAIDERLRQHRQGLPESDFTVFYHLMSLERNSDVRIKVALSEEDLNVPSATQIWPNANWYEREVWDMFGIVFTGHPHLTRILLPKYWEGHPLRKEYHARATEFTPYFLNTAKQQYEQENLRFVPEEWGMKRSGRDEDFMFLNIGPNHPSAHGAFRLVLQLDGEEVVDCIPDIGYHHRGAEKMAERQTWHSFIPYTDRIDYLGGVMNELPYIMSVEKLAGITIPPRAETIRVMMSEFFRITNNLLFVGTFIQDAGGMTPVFYMFTDRQKAYDVIEAVTGYRMHPAWFRIGGTAHDLPRGWQRLVREFLDWMPKRLDEYVKAALQNSVLKGRTQGVAQYNTKQALAWGVTGAGLRATGLDFDLRKARPYMGYENYDFEVPVGYNGDAYDRCMVKVEEMRQSLRIIRQCMDNMPQGPYKADHPLAVPPPKDRTLNDIETLINHFISVSWGPVMPAGECTTIVEATKGLNSYYITSDKATMSYRTRIRTPTFAHLQQMPSVINGSLVSDAIMYLASIDVVMADCDR