Targeting the Zinc Metalloproteinase Superfamily in the CNS: Medicinal Chemistry Strategies To Optimize Selectivity, Pharmacokinetics, and Blood–Brain Barrier Permeability

IF 4.5 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
ACS Chemical Neuroscience Pub Date : 2026-10-07 Epub Date: 2026-09-17 DOI:10.1021/acschemneuro.6c00496
Yuki Nagashima
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引用次数: 0

Abstract

The zinc metalloproteinase superfamily [matrix metalloproteinases (MMPs), a disintegrin and metalloproteinases (ADAMs), and ADAMs with thrombospondin motifs (ADAMTSs)] represents a high-value yet elusive therapeutic target for peripheral disorders and central nervous system (CNS) pathologies. Historically, active-site-centric drug discovery using potent zinc-binding groups (ZBGs) has achieved subnanomolar potency but suffered from severe cross-reactivity and poor pharmacokinetics, leading to widespread clinical failures. In particular, medicinal chemistry must simultaneously optimize enzyme selectivity, metabolic stability, and blood–brain barrier permeability to revitalize this target class for the highly restricted CNS chemical space. This work deconstructs the structural evolution of small-molecule inhibitors from a rigorous medicinal chemistry perspective. Additionally, we highlight the emerging paradigm of leveraging DNA-encoded chemical libraries (DEL) to efficiently select basic, non-ZBG scaffolds that bypass classical chelation pitfalls. Furthermore, through in silico profiling and CNS multiparameter optimization (CNS MPO) scoring, we demonstrate how targeted structural truncation can successfully refine initially oversized DEL hits into highly optimized, CNS-compatible templates. Finally, this review provides a technology-driven roadmap for navigating multiparameter optimization to achieve CNS-targeted metalloproteinase drug discovery.

在中枢神经系统中靶向锌金属蛋白酶超家族:优化选择性、药代动力学和血脑屏障通透性的药物化学策略
锌金属蛋白酶超家族[基质金属蛋白酶(MMPs),一种崩解素和金属蛋白酶(ADAMs),以及带有血栓反应蛋白基元(ADAMTSs)的ADAMs]代表了外周疾病和中枢神经系统(CNS)病理的高价值但难以捉摸的治疗靶点。从历史上看,使用强效锌结合基团(ZBGs)的以活性位点为中心的药物发现已经实现了亚纳米单分子效价,但存在严重的交叉反应性和较差的药代动力学,导致广泛的临床失败。特别是,药物化学必须同时优化酶选择性、代谢稳定性和血脑屏障通透性,以使这一目标类在高度受限的中枢神经系统化学空间中恢复活力。本研究从严谨的药物化学角度解构了小分子抑制剂的结构演化。此外,我们还强调了利用dna编码化学文库(DEL)来有效选择基本的非zbg支架的新兴范例,这些支架可以绕过经典的螯合陷阱。此外,通过芯片分析和CNS多参数优化(CNS MPO)评分,我们展示了有针对性的结构截断如何成功地将最初过大的DEL命中细化为高度优化的CNS兼容模板。最后,本综述为导航多参数优化以实现cns靶向金属蛋白酶药物的发现提供了技术驱动的路线图。
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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍: ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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