Department of Physics, Pennsylvania State University, University Park, PA 16802, USA.
Bioinformatics. 2021 Jun 16;37(10):1473-1474. doi: 10.1093/bioinformatics/btaa826.
Combinations of multiple pharmacological agents can achieve a substantial benefit over treatment with single agents alone. Combinations that achieve 'more than the sum of their parts' are called synergistic. There have been many proposed frameworks to understand and quantify drug combination synergy with different assumptions and domains of applicability. We introduce here synergy, a Python library that (i) implements a broad array of popular synergy models, (ii) provides tools for evaluating confidence intervals and conducting power analysis and (iii) provides standardized tools to analyze and visualize drug combinations and their synergies and antagonisms.
synergy is available on all operating systems for Python >=3.5. It is freely available from https://pypi.org/project/synergy, and its source code is available at https://github.com/djwooten/synergy. This software is released under the GNU General Public License, version 3.0 or later.
Supplementary data are available at Bioinformatics online.
多种药理制剂的联合应用可产生比单一制剂更大的效果。这种“大于各部分总和”的联合应用被称为协同作用。已经有许多用于理解和量化药物联合协同作用的框架,这些框架具有不同的假设和适用领域。我们在这里引入 synergy,这是一个 Python 库,(i)实现了广泛的流行协同作用模型,(ii)提供了评估置信区间和进行功效分析的工具,(iii)提供了标准化工具来分析和可视化药物联合及其协同作用和拮抗作用。
synergy 可在所有支持 Python >=3.5 的操作系统上使用。它可在 https://pypi.org/project/synergy 上免费获得,其源代码可在 https://github.com/djwooten/synergy 上获得。该软件根据 GNU 通用公共许可证(版本 3.0 或更高版本)发布。
补充数据可在《Bioinformatics》在线获得。