Q6HLK3 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicrh5z2k5lj2evpbdvhnp6r6hwzcb4bbukqloruy6klbch7yhp6xy/metadata.json
IPFS of structure file: 
bafybeihxgzebzvxaf3xiwy34b53qu2vv5cprjde333s4fn5s7eqda4p6ka/AF-Q6HLK3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb8D3B450AC50e83021eF2fc524AAC2745D922097
First NFT owner address (bech32): 
genesis1hrfmg59v2r5rqg009lzjf2kzw3weygyhlx7pfw
Current NFT ID #330775 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
330775
Accession (UniProt):
Q6HLK3
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis subsp. konkukian (strain 97-27)

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 Q6HLK3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6HLK3|QUEF_BACHK NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Bacillus thuringiensis subsp. konkukian (strain 97-27) OX=281309 GN=queF PE=3 SV=1 MAGRLDEDLKDVTLLGNQNTKYLFEYSPKILEVFDNNHPNRDYFVKFNCPEFTSLCPKTGQPDFATIYISYIPEQRMVESKSLKLYLFSFRNHGDFHEDCMNVIMNDLIKLMDPRYIEVWGKFTPRGGISIDPYCNYGRPGTKYEQMADYRMMNHDLYPETIDNR