Q9PH97 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidindsdyiyuitpm6phaofpb6a4drzbn6uxfxs2f5euvrsqjqshjde/metadata.json
IPFS of structure file: 
bafybeiecnbgey5c44w7ooofmx6w5hpse37idm3fsfc4y77d35ap46sjl2i/AF-Q9PH97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe3E92b54e6Bc4ff98Bc361E0bA88a4CC998BcD4a
First NFT owner address (bech32): 
genesis1u05jk48xh38lnz7rv8st4z9yejvchn22wlvdaf
Current NFT ID #27546 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27546
Accession (UniProt):
Q9PH97
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PH97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PH97|AROQ_XYLFA 3-dehydroquinate dehydratase OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=aroQ PE=3 SV=2 MAHLLLLHGPNLNLLGTREPEIYGRITLPQIDAALAERATAAGHGLSSLQSNAEHVLIERIHATPEDGTAFILINPGAFTHTSVALRDALLAVALPFVEIHLSNPYTREPFRHHSYLADKALGVVCGFGVDSYRIALEGVIARLGSDV