Department of Systems Medicine and Bioengineering, The Methodist Hospital Research Institute, Weill Cornell Medical College.
Bioinformatics. 2013 Jul 15;29(14):1834-6. doi: 10.1093/bioinformatics/btt279. Epub 2013 May 15.
Systematic studies of drug repositioning require the integration of multi-level drug data, including basic chemical information (such as SMILES), drug targets, target-related signaling pathways, clinical trial information and Food and Drug Administration (FDA)-approval information, to predict new potential indications of existing drugs. Currently available databases, however, lack query support for multi-level drug information and thus are not designed to support drug repositioning studies. DrugMap Central (DMC), an online tool, is developed to help fill the gap. DMC enables the users to integrate, query, visualize, interrogate, and download multi-level data of known drugs or compounds quickly for drug repositioning studies all within one system.
DMC is accessible at http://r2d2drug.org/DMC.aspx.
药物重定位的系统研究需要整合多层次的药物数据,包括基本化学信息(如 SMILES)、药物靶点、与靶点相关的信号通路、临床试验信息和美国食品和药物管理局(FDA)批准信息,以预测现有药物的新潜在适应证。然而,目前可用的数据库缺乏对多层次药物信息的查询支持,因此不适合支持药物重定位研究。DrugMap Central(DMC)是一个在线工具,旨在帮助填补这一空白。DMC 使用户能够在一个系统中快速整合、查询、可视化、询问和下载已知药物或化合物的多层次数据,以进行药物重定位研究。
DMC 可在 http://r2d2drug.org/DMC.aspx 访问。