Combenefit：一个用于药物组合分析和可视化的交互式平台。
Combenefit: an interactive platform for the analysis and visualization of drug combinations.
作者信息
Di Veroli Giovanni Y, Fornari Chiara, Wang Dennis, Mollard Séverine, Bramhall Jo L, Richards Frances M, Jodrell Duncan I
机构信息
CRUK Cambridge Institute, University of Cambridge, Cambridge, UK Early Clinical Development, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, UK.
CRUK Cambridge Institute, University of Cambridge, Cambridge, UK.
出版信息
Bioinformatics. 2016 Sep 15;32(18):2866-8. doi: 10.1093/bioinformatics/btw230. Epub 2016 Apr 25.
MOTIVATION
Many drug combinations are routinely assessed to identify synergistic interactions in the attempt to develop novel treatment strategies. Appropriate software is required to analyze the results of these studies.
RESULTS
We present Combenefit, new free software tool that enables the visualization, analysis and quantification of drug combination effects in terms of synergy and/or antagonism. Data from combinations assays can be processed using classical Synergy models (Loewe, Bliss, HSA), as single experiments or in batch for High Throughput Screens. This user-friendly tool provides laboratory scientists with an easy and systematic way to analyze their data. The companion package provides bioinformaticians with critical implementations of routines enabling the processing of combination data.
AVAILABILITY AND IMPLEMENTATION
Combenefit is provided as a Matlab package but also as standalone software for Windows (http://sourceforge.net/projects/combenefit/).
CONTACT
Giovanni.DiVeroli@cruk.cam.ac.uk
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
动机
为了开发新的治疗策略，通常会对多种药物组合进行评估，以确定协同相互作用。需要合适的软件来分析这些研究的结果。
结果
我们展示了Combenefit，这是一种新的免费软件工具，能够根据协同作用和/或拮抗作用对药物组合效应进行可视化、分析和量化。来自组合试验的数据可以使用经典的协同模型（Loewe、Bliss、HSA）进行处理，既可以作为单个实验，也可以批量处理用于高通量筛选。这个用户友好的工具为实验室科学家提供了一种简单而系统的数据分析方法。配套软件包为生物信息学家提供了关键的例程实现，能够处理组合数据。
可用性和实现方式
Combenefit以Matlab软件包的形式提供，也有适用于Windows的独立软件（http://sourceforge.net/projects/combenefit/）。
联系方式
Giovanni.DiVeroli@cruk.cam.ac.uk
补充信息
补充数据可在《生物信息学》在线获取。
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