新型6-羟基苯并噻唑-2-羧酰胺类单胺氧化酶B抑制剂的构象研究与设计

IF 2.9 4区 医学 Q3 CHEMISTRY, MEDICINAL Current topics in medicinal chemistry Pub Date : 2025-01-10 DOI:10.2174/0115680266354743241216065502
Dong Xie, Penghang Guo, Quantang Zhao, Yu Gao, Jianan Zhang, Jie Zhou
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引用次数: 0

摘要

背景:6-羟基苯并噻唑-2-羧酰胺是一种新型的、有效的、特异的单胺氧化酶B抑制剂,可用于研究分子结构,为保护神经元提供新的途径。目的:利用6-羟基苯并噻唑-2-羧酰胺衍生物建立有效的模型,为开发治疗神经退行性疾病的神经保护单胺氧化酶B抑制剂建立可靠的预测基础。方法:采用ChemDraw软件和Sybyl-X软件对所有化合物进行顺序构建和优化。利用COMSIA方法和Sybyl-X软件工具进行QSAR建模,进一步分析优化后的化合物。合成了一组新的6-羟基苯并噻唑-2-羧酰胺化合物,并利用QSAR模型预测了它们的IC50值。最后,利用IC50值对新开发的化合物进行筛选,并对IC50值最高的10个最有前途的化合物进行分子对接试验。结果:3D-QSAR模型效果良好。COMSIA模型中q2的值为0.569。模型的优势r2值为0.915,优势SEE值为0.109,优势f值为52.714。统计结果和模型的验证被认为是充分的。此外,分析等高线图可能有助于确定必要的结构规格。结论:这项工作有可能为开发保护神经系统免受神经退行性疾病侵害的活性药物提供见解。
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Conformation Study and Design of Novel 6-Hydroxybenzothiazole-2-Carboxamides as Potentially Potent and Selective Monoamine Oxidase B Inhibitors for Neuroprotection.

Background: 6-hydroxybenzothiazole-2-carboxamide is a novel, potent, and specific monoamine oxidase B inhibitor that can be used to study the structure of molecules and come up with new ways to protect neurons.

Objective: The objective of this work was to create an effective model using derivatives of 6- hydroxybenzothiazole-2-carboxamide and establish a dependable predictive foundation for the development of neuroprotective monoamine oxidase B inhibitors for the treatment of neurodegenerative diseases.

Methods: The construction and optimization of all compounds were carried out sequentially using ChemDraw software and Sybyl-X software. The optimized compounds were further analyzed using the COMSIA approach and the Sybyl-X software tool for QSAR modeling. A set of novel compounds of 6-hydroxybenzothiazole-2-carboxamide were created and their IC50 values were forecasted using QSAR modeling. Ultimately, the recently developed compounds underwent a screening process using their IC50 values, and molecular docking tests were conducted on the ten most promising compounds with the highest IC50 values.

Results: The 3D-QSAR model exhibited favorable outcomes. The value of q2 in the COMSIA model was 0.569. The model demonstrated a superior r2 value of 0.915, a lower SEE of 0.109, and a higher F-value of 52.714. The statistical findings and validation of the model were deemed adequate. Furthermore, analyzing the contour plots might assist in identifying the necessary structural specifications.

Conclusion: This work has the potential to provide an insight into the development of active medicines that protect the nervous system against neurodegenerative disorders.

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来源期刊
CiteScore
6.40
自引率
2.90%
发文量
186
审稿时长
3-8 weeks
期刊介绍: Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to a specific topic, containing six to nine reviews, which provide the reader a comprehensive survey of that area. A Guest Editor who is an expert in the topic under review, will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. The study of how structure and function are related is absolutely essential to understanding the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight, and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important advances.
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