Institute for Drug Discovery, Medical Faculty, University of Leipzig, Brüderstr. 34, D-04103 Leipzig, Germany.
Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstr. 16-18, D-04107 Leipzig, Germany.
Int J Mol Sci. 2023 May 25;24(11):9226. doi: 10.3390/ijms24119226.
Ion channels play important roles in fundamental biological processes, such as electric signaling in cells, muscle contraction, hormone secretion, and regulation of the immune response. Targeting ion channels with drugs represents a treatment option for neurological and cardiovascular diseases, muscular degradation disorders, and pathologies related to disturbed pain sensation. While there are more than 300 different ion channels in the human organism, drugs have been developed only for some of them and currently available drugs lack selectivity. Computational approaches are an indispensable tool for drug discovery and can speed up, especially, the early development stages of lead identification and optimization. The number of molecular structures of ion channels has considerably increased over the last ten years, providing new opportunities for structure-based drug development. This review summarizes important knowledge about ion channel classification, structure, mechanisms, and pathology with the main focus on recent developments in the field of computer-aided, structure-based drug design on ion channels. We highlight studies that link structural data with modeling and chemoinformatic approaches for the identification and characterization of new molecules targeting ion channels. These approaches hold great potential to advance research on ion channel drugs in the future.
离子通道在基本的生物过程中发挥着重要作用,例如细胞中的电信号、肌肉收缩、激素分泌和免疫反应的调节。用药物靶向离子通道是治疗神经和心血管疾病、肌肉降解障碍以及与疼痛感觉障碍相关的病理学的一种选择。虽然在人体中有超过 300 种不同的离子通道,但只有其中一些开发出了药物,而且目前可用的药物缺乏选择性。计算方法是药物发现不可或缺的工具,尤其是可以加快先导化合物的识别和优化的早期开发阶段。过去十年中,离子通道的分子结构数量大大增加,为基于结构的药物开发提供了新的机会。本综述总结了关于离子通道分类、结构、机制和病理学的重要知识,主要侧重于计算机辅助、基于结构的离子通道药物设计领域的最新进展。我们强调了将结构数据与建模和化学生信学方法联系起来的研究,这些方法用于识别和表征针对离子通道的新分子。这些方法在未来推进离子通道药物的研究方面具有巨大的潜力。
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