Related Experiment Video
Updated: Apr 16, 2026

Fast and Specific Assessment of the Halogenating Peroxidase Activity in Leukocyte-enriched Blood Samples
Published on: July 28, 2016
Rational drug design applied to myeloperoxidase inhibition
P Van Antwerpen1, K Zouaoui Boudjeltia
1Laboratory of Pharmaceutical Chemistry and Analytic Platform of the Faculty of Pharmacy, Universite libre de Bruxelles , Brussels , Belgium.
Abstract:
Rational drug design is a general approach using protein-structure technique in which the discovery of a ligand can be driven either by chance, screening, or rational theory. Myeloperoxidase (MPO) was rapidly identified as a therapeutical target because of its involvement in chronic inflammatory syndromes. In this context, the research of MPO inhibitors was intensified and development of new chemical entities was rationally driven by the research of ligands that enter into the MPO catalytic pocket. Actually, as soon as crystallography data of MPO have become available and its structure was virtually designed, the rational drug design has been applied to this peroxidase. Pharmaceutical industries and academic laboratories apply rational drug design on MPO by either optimizing known inhibitors or searching new molecules by high-throughput virtual screening. By these ways, they were able to find efficient MPO inhibitors and understand their interactions with the enzyme. During this quest of MPO inhibition, it appears that Glu268 is a crucial residue in order to optimize ligand-target interaction. This amino acid should be carefully considered by medicinal chemist when they design inhibitors interfering with MPO activity.
More Related Videos
Related Concept Videos
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
Drug Metabolism: Phase I Reactions
Regioselectivity of Electrophilic Additions-Peroxide Effect
Enzyme Inhibition
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

