Q97P67 AF NFT

Putative NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifq4az4gypct6op5ndqwxk5yxtobsvcuw6i7xyd6eq3dp5i6edery/metadata.json
IPFS of structure file: 
bafybeibo6k7goco6geo5df7k74jw3dbokcvlgddso63gqaliu24xjigrs4/AF-Q97P67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0863fEad1214c1119e47Ea37B2261C4D2e7B0c9b
First NFT owner address (bech32): 
genesis1pp3latgjznq3r8j8agmmyfsuf5h8krymswf6ln
Current NFT ID #331080 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331080
Accession (UniProt):
Q97P67
Name::
Putative NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PNEUMONIAE SEROTYPE 4 (STRAIN ATCC BAA-334 / TIGR4)

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 Q97P67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97P67|QUEF_STRPN Putative NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Streptococcus pneumoniae serotype 4 (strain ATCC BAA-334 / TIGR4) OX=170187 GN=queF PE=3 SV=1 MQHYETVEAVTFAYGQRHHLEIQITREIAKEQGIRHHILDMSLLGQITAQPDFATIHISYIPDKLCVESKSLKLYLFSYRNHGDFHENCINTIGKDLVNLLDPRYLEVWGKFTPRGGISIDPYYNYGKQGTKYEGLAEQRLFQHDLYPEKIDNR