Catalytic Mechanism of Peptidoglycan Deacetylase: A Computational Study.

J Phys Chem B

Dynamo Team/DYNAMOP Group, UMR5075, Université Grenoble I, CEA, CNRS, Institut de Biologie Structurale , 71 Avenue des Martyrs, CS 10090, 38044 Grenoble Cedex 9, France.

Published: January 2017

Bacterial peptidoglycan deacetylase enzymes are potentially important targets for the design of new drugs. In pathogenic bacteria, they modify cell-wall peptidoglycan by removing the acetyl group, which makes the bacteria more resistant to the host's immune response and other forms of attack, such as degradation by lysozyme. In this study, we have investigated the mechanism of reaction of acetyl removal from a model substrate, the N-acetylglucosamine/N-acetylmuramic acid dimer, by peptidogylcan deacetylase from Helicobacter pylori. For this, we employed a range of computational approaches, including molecular docking, Poisson-Boltzmann electrostatic pK calculations, molecular dynamics simulations, and hybrid quantum chemical/molecular mechanical potential calculations, in conjunction with reaction-path-finding algorithms. The active site of this enzyme is in a region of highly negative electrostatic potential and contains a zinc dication with a bound water molecule. In the docked enzyme-substrate complex, our pK calculations indicate that in the most stable protonation states of the active site the zinc-bound water molecule is in its hydroxide form and that the adjacent histidine residue, His247, is doubly protonated. In addition, there are one or two excess protons, with the neighboring aspartate residues, Asp12 and/or Asp199, being protonated. Overall, we find five classes of feasible reaction mechanisms, with the favored mechanism depending heavily on the protonation state of the active site. In the major one-excess-proton form, the mechanism with the lowest barrier (84 kJ mol) involves an initial protonation of the substrate nitrogen, followed by nucleophilic attack of the zinc-bound hydroxide and rupture of the substrate's carbon-nitrogen bond. However, in the minor two-excess-proton form, four mechanisms are almost equienergetic (83-86 kJ mol), comprising both those that start with nitrogen protonation and those in which nucleophilic attack by hydroxide occurs first.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.jpcb.6b10625DOI Listing

Publication Analysis

Top Keywords

active site
12
peptidoglycan deacetylase
8
water molecule
8
nucleophilic attack
8
catalytic mechanism
4
mechanism peptidoglycan
4
deacetylase computational
4
computational study
4
study bacterial
4
bacterial peptidoglycan
4

Similar Publications

Biochemical, structural, and cellular characterization of S-but-3-yn-2-ylglycine as a mechanism-based covalent inactivator of the flavoenzyme proline dehydrogenase.

Arch Biochem Biophys

January 2025

Department of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States; Department of Chemistry, University of Missouri, Columbia, Missouri 65211, United States. Electronic address:

The mitochondrial flavoenzymes proline dehydrogenase (PRODH) and hydroxyproline dehydrogenase (PRODH2) catalyze the first steps of proline and hydroxyproline catabolism, respectively. The enzymes are targets for chemical probe development because of their roles in cancer cell metabolism (PRODH) and primary hyperoxaluria (PRODH2). Mechanism-based inactivators of PRODH target the FAD by covalently modifying the N5 atom, with N-propargylglycine (NPPG) being the current best-in-class of this type of probe.

View Article and Find Full Text PDF

MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.

Acta Pharmacol Sin

January 2025

Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.

Computational target identification plays a pivotal role in the drug development process. With the significant advancements of deep learning methods for protein structure prediction, the structural coverage of human proteome has increased substantially. This progress inspired the development of the first genome-wide small molecule targets scanning method.

View Article and Find Full Text PDF

Background: Automated machine learning (ML)-based large vessel occlusion (LVO) detection algorithms have been shown to improve in-hospital workflow metrics including door-to-groin time (DTG). The degree to which care team engagement and interaction are required for these benefits remains incompletely characterized.

Methods: This analysis was conducted as a pre-planned post-hoc analysis of a randomized prospective clinical trial.

View Article and Find Full Text PDF

In the leucine (Leu) biosynthesis pathway, homeostasis is achieved through a feedback regulatory mechanism facilitated by the binding of the end-product Leu at the C-terminal regulatory domain of the first committed enzyme, isopropylmalate synthase (IPMS). In vitro studies have shown that removing the regulatory domain abolishes the feedback regulation on plant IPMS while retaining its catalytic activity. However, the physiological consequences and underlying molecular regulation on Leu flux upon removing the IPMS C-terminal domain remain to be explored in plants.

View Article and Find Full Text PDF

ConspectusIn the search for efficient and selective electrocatalysts capable of converting greenhouse gases to value-added products, enzymes found in naturally existing bacteria provide the basis for most approaches toward electrocatalyst design. Ni,Fe-carbon monoxide dehydrogenase (Ni,Fe-CODH) is one such enzyme, with a nickel-iron-sulfur cluster named the C-cluster, where CO binds and is converted to CO at high rates near the thermodynamic potential. In this Account, we divide the enzyme's catalytic contributions into three categories based on location and function.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!