Q17ZN4 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievczpnetowivo645ifrmyx3gnfll5ga7mhfjjtgq4i23xkb7eyfe/metadata.json
IPFS of structure file: 
bafybeiay2jihdtcxl3ettg2vnxhqvrgrasttmz6xityoskoj55jajsimkq/AF-Q17ZN4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcC44Ddcb73f28D709287baD62Db1215431715d2C
First NFT owner address (bech32): 
genesis1e3zdmjmn72xhpy58httzmvfp2schzhfv2t3ve4
Current NFT ID #330902 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
330902
Accession (UniProt):
Q17ZN4
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
Helicobacter acinonychis (strain Sheeba)

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 Q17ZN4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17ZN4|QUEF_HELAH NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Helicobacter acinonychis (strain Sheeba) OX=382638 GN=queF PE=3 SV=1 MSSELNLKLLGTKTPYIFEYNKDLLEAFPNPNPNLDPLITLECKEFTSLCPITSQPDFGVVYIRYIPKDKMVESKSLKLYLFSYRNHGSFHESCINTILLDLVGLLEPKYLEVYGDFVSRGGIAIKPFVNYAIKEYQDFKEKRLLGAK