Q9I6P3 AF NFT

3-dehydroquinate dehydratase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiearujd7urdsbtyyk6fdhvhzijumbpqlwmspf6evd5tbcnptyc37a/metadata.json
IPFS of structure file: 
bafybeickajalfu4ecfjkdxkenkqz4g76pwed2khmbwmwcebtdeqd3lnrca/AF-Q9I6P3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #27235 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27235
Accession (UniProt):
Q9I6P3
Name::
3-dehydroquinate dehydratase 2
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9I6P3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I6P3|AROQ2_PSEAE 3-dehydroquinate dehydratase 2 OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=aroQ2 PE=3 SV=1 MTRTVLVLNGPNLNLLGTREPQTYGRRTLGEIADECAAFAETRGFAVDFRQTNQEGQLLDWIHQARGRVAGIVINPAAWTHTSVALRDALAAVELPVVEVHLSNVHQREAFRHHSYVSPVALGVICGFGSLGYRLALEHFAERFEAAA