Development of a Screening Workflow for the Halogenation of Nitrogen Heterocycles with Vanadium-Dependent Haloperoxidases

IF 3.5 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
ACS Bio & Med Chem Au Pub Date : 2026-10-21 Epub Date: 2026-10-12 DOI:10.1021/acsbiomedchemau.6c00157
Carter U. Brzezinski, Sergio A. Solis, Hannah S. Slocumb, John Bacsa, Kyle F. Biegasiewicz
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引用次数: 0

Abstract

The halogenation of nitrogen heterocycles is a privileged transformation for accessing important synthetic intermediates and biologically active targets in medicinal chemistry. Despite the importance of N-heterocycle halogenation, current methods rely on reagents or catalysts that are largely unselective and produce a significant number of waste products. With an emerging interest in using halogenating enzymes to address these challenges, the vanadium-dependent haloperoxidase class of enzymes has emerged as a powerful platform for halogenation reactions under a uniquely broad set of reaction conditions. Herein, we report the development of a screening workflow for the halogenation of heterocycles with chloroperoxidase from Curvularia inaequalis (CiVCPO). Using a high-throughput screening strategy, representative model heterocycles are screened for direct chlorination and bromination reactions, and the optimized conditions are translated to an extended substrate scope in moderate to high yields. The volume of high-throughput data obtained allowed for the development of a predictive model for the substrate halogenation conditions. This screening platform is applied to established industrial intermediates and to the discovery of previously undiscovered enzymatic nitrogen-chlorine bond formation and decarboxylative halogenation reactions.

钒依赖性卤化过氧化物酶对氮杂环卤化反应筛选流程的研究
氮杂环的卤化是药物化学中获得重要合成中间体和生物活性靶点的有利途径。尽管n -杂环卤化很重要,但目前的方法依赖于试剂或催化剂,这些试剂或催化剂在很大程度上是非选择性的,并且会产生大量的废物。随着人们对使用卤化酶来解决这些挑战的兴趣的兴起,钒依赖性卤化过氧化物酶类已经成为卤化反应的强大平台,在独特的广泛反应条件下。在此,我们报道了一种利用曲霉(Curvularia inaequalis, CiVCPO)的氯过氧化物酶进行杂环卤化的筛选工作流程。采用高通量筛选策略,筛选了具有代表性的模型杂环,用于直接氯化和溴化反应,并将优化的条件转化为中高收率的扩展底物范围。获得的高通量数据量允许开发底物卤化条件的预测模型。该筛选平台适用于已建立的工业中间体和发现以前未发现的酶促氮氯键形成和脱羧卤化反应。
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来源期刊
ACS Bio & Med Chem Au
ACS Bio & Med Chem Au 药物、生物、化学-
CiteScore
4.10
自引率
0.00%
发文量
0
期刊介绍: ACS Bio & Med Chem Au is a broad scope open access journal which publishes short letters comprehensive articles reviews and perspectives in all aspects of biological and medicinal chemistry. Studies providing fundamental insights or describing novel syntheses as well as clinical or other applications-based work are welcomed.This broad scope includes experimental and theoretical studies on the chemical physical mechanistic and/or structural basis of biological or cell function in all domains of life. It encompasses the fields of chemical biology synthetic biology disease biology cell biology agriculture and food natural products research nucleic acid biology neuroscience structural biology and biophysics.The journal publishes studies that pertain to a broad range of medicinal chemistry including compound design and optimization biological evaluation molecular mechanistic understanding of drug delivery and drug delivery systems imaging agents and pharmacology and translational science of both small and large bioactive molecules. Novel computational cheminformatics and structural studies for the identification (or structure-activity relationship analysis) of bioactive molecules ligands and their targets are also welcome. The journal will consider computational studies applying established computational methods but only in combination with novel and original experimental data (e.g. in cases where new compounds have been designed and tested).Also included in the scope of the journal are articles relating to infectious diseases research on pathogens host-pathogen interactions therapeutics diagnostics vaccines drug-delivery systems and other biomedical technology development pertaining to infectious diseases.
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