Q9ZM37 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeignzljzkkkerbnm2lve5ch7afxxtpf2ao5gc6h2rydtyek4c7ll3y/metadata.json
IPFS of structure file: 
bafybeifb5kt7fbatrq2lyg7bpkydfv7qpm43rryyi7s7wssoovjq2onesy/AF-Q9ZM37-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #27389 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27389
Accession (UniProt):
Q9ZM37
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZM37 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZM37|AROQ_HELPJ 3-dehydroquinate dehydratase OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=aroQ PE=3 SV=1 MKILVIQGPNLNMLGHRDPRLYGMVTLDQIHEIMQTFVKQGNLDVELEFFQTNFEGEIIDKIQESVGSDYEGIIINPGAFSHTSIAIADAIMLAGKPVIEVHLTNIQAREEFRKNSYTGAACGGVIMGFGPLGYNMALMAMVNILAEMKAFQEAQKNNPNNPNNPINNQK