不同靶标虚拟筛选法及其在中药网络药理学中的运用(3)

　　5讨论与展望
　　
　　本文总结了不同的靶标虚拟筛选方法，并对其在中药网络药理学中的应用进行概述。基于药物-靶标预测技术进行网络药理学研究具有高通量、快速、高灵敏度、高准确性等特点。但不同的药物-靶标相互作用技术都存在本身的局限性，如化学相似性搜索和药效团模型精确度不高，且无法定量预测，分子对接难以大规模应用等，因此在对各技术进行改进的基础上，该方法近些年主要强调多技术联合，从而提高预测的准确率。另外，对预测的大量靶标如何进行实验验证也是网络药理学研究的关键问题，近些年除了组学外，还发展了高通量/高内涵技术、双高通量基因表达检测技术、分子相互作用技术等[52].这些技术与药物-靶标预测技术的结合将进一步推动中药网络药理学的发展。
　　
　　中药作为一种天然的多成分、多靶点药物，具有协同作用的特点，将网络药理学与中药复杂体系相结合，将有助于从分子网络水平阐释中药的作用机制和药效物质基础，也有助于多靶点药物的开发和老药新用的发现。笔者相信，基于网络药理学的中药新药研发模式必将对中药现代化产生重大影响。
　　
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