Q87EQ2 NADH-quinone oxidoreductase subunit D MolNFT, Molecular NFT on GenesisL1

NADH-quinone oxidoreductase subunit D

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifqt7oz55zmrnoypwecok6nx6vbhbove3f3g3d5tqbgfyen7icwbu/metadata.json

IPFS of structure file:

bafybeiei2m5xijn43hbzsj25fw7tdkslik74zl5u5mejhmr2iv2ozs2j7q/AF-Q87EQ2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x5C81F89466F453542F3C897d87cd887Ce1917b5e

First NFT owner address (bech32):

genesis1tjql39rx73f4gteu397c0nvg0nsez7670m0lg4

Current NFT ID #275852 owner (web3):

0x017919F1bE1124b92211d6Ce23B1B47B990387b9

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
275852
Accession (UniProt):
Q87EQ2
Name::
NADH-quinone oxidoreductase subunit D
Experimental Method:
Predicted structure
Sequence source:
Xylella fastidiosa (strain Temecula1 / ATCC 700964)

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 Q87EQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87EQ2|NUOD_XYLFT NADH-quinone oxidoreductase subunit D OS=Xylella fastidiosa (strain Temecula1 / ATCC 700964) OX=183190 GN=nuoD PE=3 SV=1 MNQIRQAPAASASNATESKQEIRNYTMNFGPQHPAAHGVLRLILEMDGETVVRADPHIGLLHRGTEKLAESKPFNQSIGYMDRLDYVSMMCNEHAYVRAIETLIGIQAPERAQYIRTMFDEITRILNHLMWLGSNALDLGAMAVMLYAFREREELMDVYEAISGARMHAAYYRPGGVYRDLPDTMPKYKESRWHKGKALKRLNAAREGSMLDFLEHFTDTFPQRIDEYETLLTDNRIWKQRTVGVGVIEPDVAKAWGMTGVMLRGSGIAWDLRKKQPYAKYDAVDFDIPLGTCGDCYDRYLCRVAEMRESNRIIKQCVQWLKMNPGQVMVENCKVAPPKRESMKDDMEALIHHFKLFSEGYCVPAGETYSAVEAPKGEFGCYLISDGANKPFRVHLRAPGFAHLSSMDAVVRGYMLADVVAMIGTYDLVFGEVDR

Q87EQ2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q87EQ2 research and analysis (ICN3D with VR)

FASTA sequences

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