Hu Ye, Bajorath Jurgen
Department of Life Science Informatics, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr, Bonn, D-53113, Germany.
F1000Res. 2012 Aug 14;1:11. doi: 10.12688/f1000research.1-11.v1. eCollection 2012.
We have generated a number of compound data sets and programs for different types of applications in pharmaceutical research. These data sets and programs were originally designed for our research projects and are made publicly available. Without consulting original literature sources, it is difficult to understand specific features of data sets and software tools, basic ideas underlying their design, and applicability domains. Currently, 30 different entries are available for download from our website. In this data article, we provide an overview of the data and tools we make available and designate the areas of research for which they should be useful. For selected data sets and methods/programs, detailed descriptions are given. This article should help interested readers to select data and tools for specific computational investigations.
我们已经为药物研究中的不同类型应用生成了许多复合数据集和程序。这些数据集和程序最初是为我们的研究项目设计的,现在已公开提供。如果不查阅原始文献来源,就很难理解数据集和软件工具的具体特征、其设计背后的基本思想以及适用领域。目前,有30个不同的条目可从我们的网站下载。在这篇数据文章中,我们概述了我们提供的数据和工具,并指明了它们应有用的研究领域。对于选定的数据集和方法/程序,给出了详细描述。本文应有助于感兴趣的读者为特定的计算研究选择数据和工具。