Q3K9G4 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepvdiw2aez26ungjeqg5u34zwbj7d6eenycv7w75djff7rygjopy/metadata.json
IPFS of structure file: 
bafybeiho2q3hhrvpt3r4tgwchduzx36srmmmltzndaxhszdd6xqpr7nwvq/AF-Q3K9G4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3f713B4B1650176e30B519F2A58Bd9E365E97fD0
First NFT owner address (bech32): 
genesis18acnkjck2qtkuv94r8e2tz7eudj7jl7st790dq
Current NFT ID #330988 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
330988
Accession (UniProt):
Q3K9G4
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS FLUORESCENS (STRAIN PF0-1)

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 Q3K9G4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3K9G4|QUEF_PSEPF NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Pseudomonas fluorescens (strain Pf0-1) OX=205922 GN=queF PE=3 SV=1 MHPAAEHSPLGKSSEYIATYTPSLLFPIPRTAKWAELGLTAETLPYKGVDFWNCFELSWLLPSGKPVVAIGEFSIPADSPNIIESKSFKLYLNSLNQTPFADTASLEATLVKDLSAAAGKPVGVRVRSLKDVEAEGVVALPGVCIDDLDISVSDYEHPRPELLRCDDSRVVEESVHSHLLKSNCPVTSQPDWGSVVVEYRGAALDHASLLEYIVSFRQHSDFHEQCVERIFLDLQRLLKPEKLTVFARYVRRGGLDINPYRSTESVQLPNHRLVRQ