Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China.
J Chem Inf Model. 2024 Jan 8;64(1):57-75. doi: 10.1021/acs.jcim.3c01613. Epub 2023 Dec 27.
Drug discovery is time-consuming, expensive, and predominantly follows the "one drug → one target → one disease" paradigm. With the rapid development of systems biology and network pharmacology, a novel drug discovery paradigm, "multidrug → multitarget → multidisease", has emerged. This new holistic paradigm of drug discovery aligns well with the essence of networks, leading to the emergence of network-based methods in the field of drug discovery. In this Perspective, we initially introduce the concept and data sources of networks and highlight classical methodologies employed in network-based methods. Subsequently, we focus on the practical applications of network-based methods across various areas of drug discovery, such as target prediction, virtual screening, prediction of drug therapeutic effects or adverse drug events, and elucidation of molecular mechanisms. In addition, we provide representative web servers for researchers to use network-based methods in specific applications. Finally, we discuss several challenges of network-based methods and the directions for future development. In a word, network-based methods could serve as powerful tools to accelerate drug discovery.
药物发现既耗时又昂贵,主要遵循“一种药物→一个靶标→一种疾病”的范式。随着系统生物学和网络药理学的快速发展,一种新的药物发现范式,“多药物→多靶标→多种疾病”已经出现。这种药物发现的整体新范式与网络的本质很好地吻合,导致网络方法在药物发现领域的出现。在这篇观点文章中,我们首先介绍网络的概念和数据源,并强调网络方法中使用的经典方法。随后,我们重点介绍了网络方法在药物发现的各个领域的实际应用,如靶标预测、虚拟筛选、药物治疗效果或不良药物事件的预测,以及分子机制的阐明。此外,我们还为研究人员提供了一些有代表性的网络服务器,以便在特定应用中使用网络方法。最后,我们讨论了网络方法的几个挑战和未来发展的方向。总之,网络方法可以作为加速药物发现的有力工具。