疟原虫半胱氨酸和天冬氨酸蛋白酶是抗疟治疗的关键药物靶点

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Akinwunmi O. Adeoye, Kevin A. Lobb
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引用次数: 0

摘要

背景半胱氨酸和天冬氨酸蛋白酶是在疟原虫生命周期中发挥关键作用的酶家族。这些蛋白酶参与重要的生物过程,如宿主红细胞内血红蛋白的降解、蛋白质的周转和寄生虫发育的调节。用小分子药物抑制这些蛋白酶可以阻止寄生虫的生长和存活。从化学角度看,这些酶具有特定的活性位点,抑制剂可以与这些位点结合,阻止关键蛋白质的分解,从而使它们成为设计新型抗疟化合物的诱人目标。了解这些蛋白酶的结构和催化机制对于开发选择性强的抑制剂至关重要。血红蛋白的降解发生在寄生虫的消化泡内,以这些蛋白酶为靶点破坏这一过程可以抑制寄生虫的发育,导致寄生虫死亡。因此,这些蛋白酶对维持寄生虫的新陈代谢功能至关重要,抑制它们会破坏寄生虫的生命周期。疟疾仍然是一个重大的全球健康问题,尤其是在热带和亚热带地区,对现有抗疟药物(如氯喹和青蒿素类疗法)的抗药性是一个不断升级的问题。耐药性疟原虫菌株的出现凸显了对新治疗策略的迫切需求。靶向半胱氨酸和天冬氨酸蛋白酶为抗疟药物开发提供了一种新方法,因为这些酶对寄生虫的生存至关重要,但在目前的疗法中尚未得到广泛利用。方法应用分子对接、动力学模拟和量子力学计算等计算方法,结合强大的分子建模工具,为发现和优化针对疟原虫半胱氨酸和天冬氨酸蛋白酶的抑制剂提供了一个全面的框架。这些方法有助于合理设计新型抗疟药物,为克服耐药性和改善治疗效果提供了途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Malaria parasite cysteine and aspartic proteases as key drug targets for antimalarial therapy

Context

Cysteine and aspartic proteases are enzyme families that play crucial roles in the life cycle of Plasmodium, the parasite responsible for malaria. These proteases are involved in vital biological processes, such as hemoglobin degradation within the host’s red blood cells, protein turnover, and regulation of parasite development. Inhibiting these proteases with small molecule drugs can block the parasite’s growth and survival. Chemically, these enzymes have specific active sites where inhibitors can bind, preventing the breakdown of key proteins, making them attractive targets for the design of novel antimalarial compounds. Understanding the structure and catalytic mechanisms of these proteases is critical for developing selective and potent inhibitors. The degradation of hemoglobin occurs in the parasite’s digestive vacuole, and disruption of this process by targeting these proteases can inhibit parasite development, leading to the death of the parasite. Hence, these proteases are critical for maintaining the parasite’s metabolic functions, and inhibiting them can disrupt the parasite’s life cycle. Malaria remains a major global health problem, particularly in tropical and subtropical regions, where resistance to existing antimalarial drugs, such as chloroquine and artemisinin-based therapies, is an escalating issue. The emergence of drug-resistant Plasmodium strains highlights the urgent need for new therapeutic strategies. Targeting cysteine and aspartic proteases offers a novel approach to antimalarial drug development, as these enzymes are crucial for parasite survival and have not been widely exploited in current therapies. By inhibiting these proteases, researchers aim to develop new antimalarial treatments that could overcome resistance mechanisms and provide more effective options for malaria control and eradication.

Methods

The application of computational methods such as molecular docking, dynamics simulations, and quantum mechanical calculations, combined with powerful molecular modeling tools, provides a comprehensive framework for discovering and optimizing inhibitors targeting Plasmodium cysteine and aspartic proteases. These methods facilitate the rational design of novel antimalarial drugs, offering a pathway to overcome drug resistance and improve therapeutic outcomes.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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