Q8KD64 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihsgdnz2kic73ac3q675swwkk5s7xowgfni6dpybxzwzbqh7hke4y/metadata.json
IPFS of structure file: 
bafybeif7zh4dqvo7shlbnvbsgh2fhg3wmnkjih44ci25xxxsxo3lbrtiju/AF-Q8KD64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #27325 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27325
Accession (UniProt):
Q8KD64
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
CHLOROBACULUM TEPIDUM (STRAIN ATCC 49652 / DSM 12025 / NBRC 103806 / TLS)

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 Q8KD64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8KD64|AROQ_CHLTE 3-dehydroquinate dehydratase OS=Chlorobaculum tepidum (strain ATCC 49652 / DSM 12025 / NBRC 103806 / TLS) OX=194439 GN=aroQ PE=3 SV=1 MMSATSLLVMNGPNLSRLGKREPEVYGSLTLDEINRGIAVAFPEVSFEFFQSEHEGALIEKLFEIEGRGGFSGVVLNAGALTHYSIALRDAISAVTMPVVEVHLSNVHKREEFRHKSVISAVCIGVIAGFGVESYHLGVRALLGRGNR