B9J7E0 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibezh3d7smv3seo2ij3r4eww22dnpgodcoz4dnapgp6f7znvgnl5e/metadata.json
IPFS of structure file: 
bafybeiduotjzfettbbctl22ne3uezecgxnibahge4wo3tllw2r74qmmdaa/AF-B9J7E0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #330742 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
330742
Accession (UniProt):
B9J7E0
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM RADIOBACTER (STRAIN K84 / ATCC BAA-868)

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 B9J7E0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9J7E0|QUEF_AGRRK NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Agrobacterium radiobacter (strain K84 / ATCC BAA-868) OX=311403 GN=queF PE=3 SV=1 MPKTDVSGLSMLGNQTETAANPEVAVLEKVPAGYAGTDYVVRFTAPEFTSLCPMTGQPDFAHIVIDYVPNEWLVESKSLKLFLHSFRNHGAFHEDCSIYIAKRLVELLEPKWLRIGAYWYPRGGIPIDVFWQTGKPPEGVWLPDQGVQPYRGRG