A9R2J3 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5igiixrbuii7oiiqgacrdjgy35ewbtnkz2gt4xnrfhjmarqhhsm/metadata.json
IPFS of structure file: 
bafybeiheqzvka2h4kbr26c2qdsv2yiwjauxddjy6s54g644urvrlbfikrq/AF-A9R2J3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x34DF1A00AA3FD36DDB63AbDb6642A9c6847BbA0A
First NFT owner address (bech32): 
genesis1xn035q928lfkmkmr40dkvs4fc6z8hws2q44myq
Current NFT ID #331133 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331133
Accession (UniProt):
A9R2J3
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R2J3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R2J3|QUEF_YERPG NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=queF PE=3 SV=1 MSSYQNHKALAELTLGKPTAYCDYYDATLLQAVPRSMNREPLGLYPDNLPFHGADIWTLYELSWLNSNGLPQVAVGEISLNADSINLIESKSFKLYLNSFNQTIFADKESVRMTLQRDLAACAQGNVSVALYDLDEITGQPISNFNGECLDKQDIRIDSYEFNADYLQGAAGKDHVEESLVSHLLKSNCLITHQPDWGSVQIHYRGPQIDHEALLRYLVSFRHHNEFHEQCVERIFNDIMRFCQPETLTVYARYTRRGGLDINPWRSNTDFVPLTGRLARQ