B9W797 AF NFT

Ubiquinone biosynthesis protein COQ4, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifep5gr7p63daq4q7pe7b2sqgxlfq2sgq64hpufk72rpj26mcsclu/metadata.json
IPFS of structure file: 
bafybeifhubanvx7fhk27vcn4qp2j7ljwlxhmfvrmhjwvp75qmngulo7ybm/AF-B9W797-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9cF378e1AE3788b0f9f7F6910A4e1CE80D6DAb25
First NFT owner address (bech32): 
genesis1nneh3cdwx7ytp70h76gs5nsuaqxkm2e9zuly8p
Current NFT ID #72838 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
72838
Accession (UniProt):
B9W797
Name::
Ubiquinone biosynthesis protein COQ4, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841)

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 B9W797 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9W797|COQ4_CANDC Ubiquinone biosynthesis protein COQ4, mitochondrial OS=Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841) OX=573826 GN=COQ4 PE=3 SV=1 MLKSTVSNTRIKCCRIDQRRNYLFTALASSALGSFLWSKNNVLASKMENGELHYHDPNLTFNKKLFNGKPPFERRAPDYPGHVPLYNFEKVLMFLGSSMGAFFHPEENKYIVALGESTAITPILQHLRHKMLSDPVGRTILREKPRMTSDSLNLTYLRSLPDNTIGKNYVNWLDKENVSPDTRVPVRYIDNEELAYIYQRYRECHDFYHAITGLPIIIEGEIAVKVFEFANIGIPMSGLGALFAPLRLKPSQRQRLREIYYPWAIKNGLFSKPLINVYWEKILEKDVNEFRQEMGIQQPPDLRNMRKEYFAKKKLEKQLQGRK