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对碳酸酐酶抑制作用的全面见解:体外、计算机模拟和体内视角的三元组

Comprehensive insights into carbonic anhydrase inhibition: A triad of In vitro, In silico, and In vivo perspectives.

作者信息

Allam Ahmed A, Rudayni Hassan A, Ahmed Noha A, Aba Alkhayl Faris F, Lamsabhi Al Mokhtar, Kamel Emadeldin M

机构信息

Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11623, Saudi Arabia.

Physiology Division, Zoology Department, Faculty of Science, Beni-Suef University, P.O. Box 62521, Beni-Suef, Egypt.

出版信息

Enzyme Microb Technol. 2025 Sep;189:110657. doi: 10.1016/j.enzmictec.2025.110657. Epub 2025 Apr 17.

Abstract

Carbonic anhydrases (CAs) are zinc-dependent metalloenzymes essential for sustaining physiological balance by facilitating the reversible conversion of carbon dioxide to its hydrated form. Their biological significance, coupled with their involvement in a wide array of pathological conditions, makes them attractive targets for therapeutic intervention. This review presents a comprehensive analysis of carbonic anhydrase inhibition through an integrated triad of in vitro, In silico, and In vivo perspectives. In vitro studies provide critical insights into the mechanisms of enzyme inhibition, enabling the identification and optimization of potent inhibitors while elucidating their structure-activity relationships. In silico methodologies, including docking, molecular dynamics (MD) simulation, virtual screening, ADMET, and QSAR analyses, have emerged as invaluable tools in rational drug design, streamlining the discovery and development of isoform-specific inhibitors. Complementing these efforts, In vivo investigations validate the pharmacokinetics, pharmacodynamics, and therapeutic efficacy of CA inhibitors (CAIs) in disease models, bridging the gap between laboratory findings and clinical applications. The therapeutic relevance of CAIs extends across multiple domains, including glaucoma, epilepsy, cancer, metabolic disorders, and infectious diseases. Emerging applications, such as their potential use in combating antimicrobial resistance and modulating immune responses, further underscore their versatility. However, challenges such as achieving isoform selectivity, minimizing off-target effects, and translating preclinical findings into clinical success persist. Advances in fragment-based drug design, artificial intelligence-driven discovery, and innovative experimental techniques are poised to address these limitations, paving the way for the next generation of CAIs.

摘要

碳酸酐酶(CAs)是锌依赖性金属酶,通过促进二氧化碳向其水合形式的可逆转化,对维持生理平衡至关重要。它们的生物学意义,以及它们参与多种病理状况,使其成为治疗干预的有吸引力的靶点。本综述通过体外、计算机模拟和体内三个方面的综合分析,对碳酸酐酶抑制进行了全面的探讨。体外研究为酶抑制机制提供了关键见解,有助于识别和优化强效抑制剂,同时阐明其构效关系。计算机模拟方法,包括对接、分子动力学(MD)模拟、虚拟筛选、ADMET和QSAR分析,已成为合理药物设计中不可或缺的工具,简化了同工型特异性抑制剂的发现和开发。作为这些努力的补充,体内研究验证了碳酸酐酶抑制剂(CAIs)在疾病中的药代动力学、药效学和治疗效果,弥合了实验室研究结果与临床应用之间的差距。CAIs的治疗相关性跨越多个领域,包括青光眼、癫痫、癌症、代谢紊乱和传染病。新兴应用,如它们在对抗抗菌耐药性和调节免疫反应方面的潜在用途,进一步凸显了它们的多功能性。然而,诸如实现同工型选择性、最小化脱靶效应以及将临床前研究结果转化为临床成功等挑战仍然存在。基于片段的药物设计、人工智能驱动的发现以及创新实验技术的进展有望解决这些限制,为下一代CAIs铺平道路。

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