Q32CC4 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4sobpkzmqp3mrmjdasbhrdjl6zt2bywd5oqof2atqwcytlp3s3y/metadata.json
IPFS of structure file: 
bafybeib7v54g5wwziwr6zmuv3rjqyjdqxerhsvfswccsnji3by2htmh6ti/AF-Q32CC4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAB584A85A9D45Ce11453E831d49C4cb335302E5F
First NFT owner address (bech32): 
genesis14dvy4pdf63wwz9znaqcaf8zvkv6nqtjlmh04yu
Current NFT ID #331052 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
331052
Accession (UniProt):
Q32CC4
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32CC4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32CC4|QUEF_SHIDS NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=queF PE=3 SV=1 MSSYANHQALAGLTLGKSTDYRDTYDASLLQGVPRSLNRDPLGLKADNLPFHGADIWTLYELSWLNAKGLPQVAVGHVELDYTSVNLIESKSFKLYLNSFNQTSFNNWDEVLKTLERDLSTCAQGKVSVALYRLDELEGQPIGHFNGTCIDDQDITIDNYEFTTDYLENATCGEKVVEETLVSHLLKSNCLITHQPDWGSIQIQYRGRQIDREKLLRYLVSFRHHNEFHEQCVERIFNDLLRFCQPEKLSVYARYTRRGGLDINPWRSNSDFVPSTTRLVRQ