Structural pharmacology of Chinese medicine: technological breakthroughs in decoding multi-target synergy and precision mechanisms.

Caiyan Wang, Yanling Li, Lin Zhuo, Songzhu Xu, Mengyao Wang, Zhongqiu Liu
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Abstract

Traditional Chinese Medicine (TCM) offers valuable therapeutic strategies for chronic and infectious diseases, yet the inherent complexity of its multi-component, multi-target formulations and synergistic effects presents substantial challenges to pharmacological mechanistic understanding. Structural pharmacology of Chinese Medicine has emerged as a transformative discipline, integrating structural biology, computational chemistry, and pharmacology to elucidate the precise mechanisms underlying TCM efficacy. This review synthesizes technological advancements that enable the characterization of synergistic mechanisms and dynamic molecular interactions in TCM. Key advancements include high-resolution structural techniques such as X-ray crystallography, cryo-electron microscopy, sophisticated computational approaches such as AI-driven predictive modeling, and advanced analytical platforms. We critically examine persistent technical hurdles, such as capturing transient binding events and modeling complex multi-component system dynamics. Finally, we outline future research trajectories to establish a predictive and adaptable scientific foundation for TCM modernization, facilitating its evidence-based global integration and application in precision medicine.

中药结构药理学:解码多靶点协同与精准机制的技术突破。
中医药为慢性和感染性疾病提供了有价值的治疗策略,但其多组分、多靶点配方和协同作用的内在复杂性对药理机制的理解提出了重大挑战。中医结构药理学是一门整合结构生物学、计算化学和药理学的变革性学科,旨在阐明中药疗效的确切机制。本文综述了能够表征中药协同机制和动态分子相互作用的技术进展。主要进展包括高分辨率结构技术,如x射线晶体学,低温电子显微镜,复杂的计算方法,如人工智能驱动的预测建模,以及先进的分析平台。我们严格审查持续的技术障碍,如捕获瞬态绑定事件和建模复杂的多组件系统动力学。最后,展望未来的研究方向,为中医药现代化奠定可预测、可适应的科学基础,促进中医药在全球的循证整合和精准医学应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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