Q9HLV9 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihexqhsmcu3f7sknscra6gjm66hpdcasjw6jigduxof73rtnjopoe/metadata.json
IPFS of structure file: 
bafybeiex7k4ffhvuybqg2bhr662xkqpvjljs3wkoq5aep6wcfjaqus7p4q/AF-Q9HLV9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFcE1Cc4701f91032c0E3B0766A064D09cFFc5BeC
First NFT owner address (bech32): 
genesis1lnsuc3cplygr9s8rkpmx5pjdp88lcklvsvp0tc
Current NFT ID #26231 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
26231
Accession (UniProt):
Q9HLV9
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HLV9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HLV9|AROD_THEAC 3-dehydroquinate dehydratase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=aroD PE=3 SV=1 MPLYSGDKISIGKFVIGNPMPIVVTSVFYEDVSTFVERLQTKVLSDKNLYEIRFDMFTEREISDEEELISAMREMDIDYIFTYRGKDARKYYETAIRKMAPAVDIDMDLIGKLEAKPTVTKVIGSYHTSDSEAMMSALDRMIDSDVDMVKVACSYSEDQEFLGDLKRIIDIRKNRRKPIAYVPMGRTFWRALAGYYVSDIVYAMADRPTAYGQPPADYYYQAFKALFY