Q9HZJ3 AF NFT

3-ketoacyl-CoA thiolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigly76lu6i6gnyd2jbmicvavn3oukipygmpthx77ym22iumvxcxya/metadata.json
IPFS of structure file: 
bafybeienw4oowbhhguu4otiqzgga5dsuzr7y6xd6kfcygh26gpxgangrw4/AF-Q9HZJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1a68bc8B8a369482B790efFfC148F4639Ac79877
First NFT owner address (bech32): 
genesis1rf5tezu2x62g9dusalluzj85vwdv0xrhsnnkc0
Current NFT ID #125818 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
125818
Accession (UniProt):
Q9HZJ3
Name::
3-ketoacyl-CoA thiolase
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 Q9HZJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HZJ3|FADA_PSEAE 3-ketoacyl-CoA thiolase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=fadA PE=3 SV=1 MSLNPRDVVIVDFGRTPMGRSKGGMHRNTRAETMSAHLISKLLERNPKVDPAEVEDVIWGCVNQTLEQGWNIARMASLMTQIPHTSAAQTVSRLCGSSMSALHTAAQAIQTGNGDVFVIGGVEHMGHVGMMHGVDPNPHLSLYAAKASGMMGLTAEMLGKMHGISREAQDKFGARSHQLAWKATQEGKFKDEIIPMEGYDENGFLKVFDFDETIRPETTVETLAELKPAFNPKGGTVTAGTSSQITDGASCMIVMSAQRAQDLGIQPMAVIRSMAVAGVDPAIMGYGPVPSTNKALKRAGLTIADIDFVELNEAFAAQALPVLKDLKLLDKMDEKVNLHGGAIALGHPFGCSGARISGTLLNVMKQNGGTLGVSTMCVGLGQGITTVFERI