犬尿氨酸3-单加氧酶抑制剂(KMOis)结构-活性关系的新见解,重点是化学空间,活性景观探索。

IF 6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Chaitali Mallick, Sagnik Banerjee, Sk Abdul Amin
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引用次数: 0

摘要

Kynurenine 3-monooxygenase (KMO)是Kynurenine pathway (KP)的关键靶点。KMO抑制剂(KMOis)降低神经毒性代谢物,如3-羟基犬尿氨酸和喹啉酸,同时增加神经保护性犬尿酸水平。它为治疗神经退行性疾病、精神疾病、急性胰腺炎和免疫介导性疾病提供了一种有希望的治疗方法。涵盖领域:作者概述了KMOi的生物学和功能,并强调了KMOi设计的关键证据。作者还通过PubMed、谷歌Scholar和Scopus对2015年至2025年期间的文献进行综合检索,总结了几个系列KMOis的结构-活性关系(sar)。这项工作也为人类KMOis (hKMOis)的化学空间提供了明确的覆盖范围,从而为合理设计针对该酶的下一代治疗药物提供了新的框架。专家意见:KP,特别是KMO,已经成为药物发现的一个引人注目的目标。hKMOis的结构-相似活动追踪图谱(SimilACTrail)为绘制hKMOis的分子景观提供了新的见解。高支架跳跃率(40.24%)强调了化学创新的潜力,而活性悬崖的识别(0.58%)为精炼SARs提供了关键数据。这些发现为治疗发展提供了一条有希望的途径,为化学支架的优化提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel insights into structure-activity relationships of kynurenine 3-monooxygenase inhibitors (KMOis) with emphasis on chemical space, activity landscape exploration.

Introduction: Kynurenine 3-monooxygenase (KMO) is a pivotal target in the kynurenine pathway (KP). KMO inhibitors (KMOis) decrease neurotoxic metabolites like 3-hydroxykynurenine and quinolinic acid while increasing neuroprotective kynurenic acid levels. It offers a promising therapeutic approach for treating neurodegenerative diseases, psychiatric disorders, acute pancreatitis, and immune-mediated conditions.

Areas covered: The authors provide an overview of the biology and function of KMO and highlight the key evidence for KMOi design. The authors also provide a summary of the structure - activity relationships (SARs) of several series of KMOis based on a comprehensive search of literature utilizing PubMed, Google Scholar, and Scopus, covering the period between 2015 and 2025. This works also provides explicit coverage to the chemical space of human KMOis (hKMOis), thereby providing a novel framework for the rational design of next-generation therapeutics targeting this enzyme.

Expert opinion: The KP, particularly KMO, has emerged as a compelling target for drug discovery. The Structure-Similarity Activity Trailing (SimilACTrail) map of hKMOis has provided novel insights for mapping the molecular landscape of hKMOis. A high scaffold-hopping rate (40.24%) underscores the potential for chemical innovation, while the identification of activity cliffs (0.58%) provides critical data for refining SARs. These findings offer a promising avenue for therapeutic development, with opportunities for the optimization of chemical scaffolds.

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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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