Q0KEJ5 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsm5ubpc7jncfzxmvqalgmtiq4y6jh4xgovx5hq73e2mxbnweigm/metadata.json
IPFS of structure file: 
bafybeielbpsqb4p3w4x5f76o4qmxoewmtowebzirbao4ughks7r5zxbwoa/AF-Q0KEJ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdaa356CE75bf1C8E9543ad52A89B7C7C41D2bcDB
First NFT owner address (bech32): 
genesis1m234dnn4huwga92r44f23xmu03qa90xmzz3dkm
Current NFT ID #330851 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
330851
Accession (UniProt):
Q0KEJ5
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337)

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 Q0KEJ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0KEJ5|QUEF_CUPNH NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=queF PE=3 SV=1 MSLPEHSPLGKPSAYKTEYDASLLFPIPRQPKRTEIGLPEGKPVPFFGVDIWNAYELSWLNLKGKPQVALASFIIPSDTPNIIESKSFKLYLNSFNQTRIASPEALQQLLHHDLSEATGGTVQVRLVTEADLGKQKMGELDGLLLDRLDIEVDRYEPAPELLSADQQESPVEETLVSHLLKSNCLVTGQPDWGSVQIRYVGAPINQEGLLKYLISFRNHNEFHEQCVERIFMDVMRECKPVKLAVYARYTRRGGLDINPFRTNFNTAWPDNKRNARQ