余俊霖, 李国菠. 计算机辅助金属酶靶向药物发现的研究进展[J]. 中国现代应用药学, 2022, 39(21): 2828-2833. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.019
    引用本文: 余俊霖, 李国菠. 计算机辅助金属酶靶向药物发现的研究进展[J]. 中国现代应用药学, 2022, 39(21): 2828-2833. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.019
    YU Junlin, LI Guobo. Advances in Computer-aided Metalloenzyme-targeted Drug Discovery[J]. Chinese Journal of Modern Applied Pharmacy, 2022, 39(21): 2828-2833. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.019
    Citation: YU Junlin, LI Guobo. Advances in Computer-aided Metalloenzyme-targeted Drug Discovery[J]. Chinese Journal of Modern Applied Pharmacy, 2022, 39(21): 2828-2833. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.019

    计算机辅助金属酶靶向药物发现的研究进展

    Advances in Computer-aided Metalloenzyme-targeted Drug Discovery

    • 摘要: 金属酶是指含功能必需和(或)结构必需金属离子的酶的统称,广泛参与关键生理和病理过程,是非常重要的药物作用靶标群。金属结合位点的电子和几何结构具有复杂性、多变性和动态性等特点,使得计算机辅助药物设计存在挑战性。本文综述金属结合药效团,基于结构的药物设计,人工智能等策略应用于金属酶靶向药物发现的研究进展、优势和面临挑战,期望能为金属酶靶向创新药物研发提供借鉴和思考。

       

      Abstract: Metalloenzyme is a generic term normally used for the enzymes containing functionally and/or structurally essential metal ions, which are widely involved in key physiological and pathological processes, and are a colony of important drug targets. Electronic and geometric structures of metal-binding sites usually have complicated, flexible, dynamic features, which make computer-aided drug design more challenging. This paper summarizes the research progress, strengths and challenges for metal-binding pharmacophores, structure-based drug design, and artificial intelligence used in metalloenzyme-targeted drug discovery, with the hope to provide reference and reflection for high-efficient innovative drug discovery targeting metalloenzymes.

       

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