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4Q1U

Serum paraoxonase-1 by directed evolution with the K192Q mutation

Summary for 4Q1U
Entry DOI10.2210/pdb4q1u/pdb
Related1V04 3SRE 3SRG 4HHO
DescriptorSerum paraoxonase/arylesterase 1, CALCIUM ION, DODECYL-BETA-D-MALTOSIDE, ... (7 entities in total)
Functional Keywords6-blades-propeller fold, lactonase, hydrolase
Biological sourcehybrid
Total number of polymer chains1
Total formula weight40375.98
Authors
Ben-David, M.,Sussman, J.L.,Tawfik, D.S. (deposition date: 2014-04-04, release date: 2015-02-18, Last modification date: 2024-10-09)
Primary citationBen-David, M.,Sussman, J.L.,Maxwell, C.I.,Szeler, K.,Kamerlin, S.C.,Tawfik, D.S.
Catalytic stimulation by restrained active-site floppiness-the case of high density lipoprotein-bound serum paraoxonase-1.
J.Mol.Biol., 427:1359-1374, 2015
Cited by
PubMed Abstract: Despite the abundance of membrane-associated enzymes, the mechanism by which membrane binding stabilizes these enzymes and stimulates their catalysis remains largely unknown. Serum paraoxonase-1 (PON1) is a lipophilic lactonase whose stability and enzymatic activity are dramatically stimulated when associated with high-density lipoprotein (HDL) particles. Our mutational and structural analyses, combined with empirical valence bond simulations, reveal a network of hydrogen bonds that connect HDL binding residues with Asn168--a key catalytic residue residing >15Å from the HDL contacting interface. This network ensures precise alignment of N168, which, in turn, ligates PON1's catalytic calcium and aligns the lactone substrate for catalysis. HDL binding restrains the overall motion of the active site and particularly of N168, thus reducing the catalytic activation energy barrier. We demonstrate herein that disturbance of this network, even at its most far-reaching periphery, undermines PON1's activity. Membrane binding thus immobilizes long-range interactions via second- and third-shell residues that reduce the active site's floppiness and pre-organize the catalytic residues. Although this network is critical for efficient catalysis, as demonstrated here, unraveling these long-rage interaction networks is challenging, let alone their implementation in artificial enzyme design.
PubMed: 25644661
DOI: 10.1016/j.jmb.2015.01.013
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (2.302 Å)
Structure validation

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