Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Division of Orthopaedic Surgery, Schroeder Arthritis Institute, Toronto, Canada.
Nucleic Acids Res. 2024 Jul 5;52(W1):W481-W488. doi: 10.1093/nar/gkae388.
In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerged to identify potential drug repurposing candidates. However, these tools often require complex installation and lack intuitive visual network mining capabilities. To tackle these challenges, we introduce Drugst.One, a platform that assists specialized computational medicine tools in becoming user-friendly, web-based utilities for drug repurposing. With just three lines of code, Drugst.One turns any systems biology software into an interactive web tool for modeling and analyzing complex protein-drug-disease networks. Demonstrating its broad adaptability, Drugst.One has been successfully integrated with 21 computational systems medicine tools. Available at https://drugst.one, Drugst.One has significant potential for streamlining the drug discovery process, allowing researchers to focus on essential aspects of pharmaceutical treatment research.
近几十年来，新药的开发变得越来越昂贵和低效，大多数药物的分子机制仍了解甚少。为此，计算系统和网络医学工具已经出现，以识别潜在的药物再利用候选物。然而，这些工具通常需要复杂的安装，并且缺乏直观的可视化网络挖掘功能。为了解决这些挑战，我们引入了 Drugst.One，这是一个平台，可帮助专门的计算医学工具变得用户友好，并成为药物再利用的基于网络的实用程序。只需三行代码，Drugst.One 就可以将任何系统生物学软件转变为用于建模和分析复杂的蛋白质 - 药物 - 疾病网络的交互式网络工具。展示了其广泛的适应性，Drugst.One 已经成功集成了 21 个计算系统医学工具。可在 https://drugst.one 上获得，Drugst.One 具有简化药物发现过程的巨大潜力，使研究人员能够专注于药物治疗研究的重要方面。
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