Institute for Molecular Medicine Finland, FIMM, University of Helsinki, Helsinki, Finland.
Department of Mathematics and Statistics, University of Turku, Turku, Finland.
Nucleic Acids Res. 2017 Jul 3;45(W1):W495-W500. doi: 10.1093/nar/gkx384.
The advent of polypharmacology paradigm in drug discovery calls for novel chemoinformatic tools for analyzing compounds' multi-targeting activities. Such tools should provide an intuitive representation of the chemical space through capturing and visualizing underlying patterns of compound similarities linked to their polypharmacological effects. Most of the existing compound-centric chemoinformatics tools lack interactive options and user interfaces that are critical for the real-time needs of chemical biologists carrying out compound screening experiments. Toward that end, we introduce C-SPADE, an open-source exploratory web-tool for interactive analysis and visualization of drug profiling assays (biochemical, cell-based or cell-free) using compound-centric similarity clustering. C-SPADE allows the users to visually map the chemical diversity of a screening panel, explore investigational compounds in terms of their similarity to the screening panel, perform polypharmacological analyses and guide drug-target interaction predictions. C-SPADE requires only the raw drug profiling data as input, and it automatically retrieves the structural information and constructs the compound clusters in real-time, thereby reducing the time required for manual analysis in drug development or repurposing applications. The web-tool provides a customizable visual workspace that can either be downloaded as figure or Newick tree file or shared as a hyperlink with other users. C-SPADE is freely available at http://cspade.fimm.fi/.
多靶标药物发现方法的出现,要求开发新型计算化学工具来分析化合物的多靶标活性。这些工具应通过捕获和可视化与多靶标效应相关的化合物相似性的潜在模式,为化学空间提供直观的表示。大多数现有的基于化合物的计算化学工具缺乏交互式选项和用户界面,这对于进行化合物筛选实验的化学生物学家的实时需求至关重要。为此,我们引入了 C-SPADE,这是一个开源的探索性网络工具,用于使用基于化合物的相似性聚类对药物分析(生化、基于细胞或无细胞)进行交互式分析和可视化。C-SPADE 允许用户直观地绘制筛选面板的化学多样性,根据与筛选面板的相似性来探索研究化合物,进行多靶标分析并指导药物-靶标相互作用预测。C-SPADE 仅需要原始药物分析数据作为输入,它会自动实时检索结构信息并构建化合物聚类,从而减少药物开发或重新利用应用程序中手动分析所需的时间。该网络工具提供了一个可定制的可视化工作区,可以下载为图像或 Newick 树文件,也可以作为超链接与其他用户共享。C-SPADE 可在 http://cspade.fimm.fi/ 免费获取。