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.

中文翻译：

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synergy-用于计算，分析和可视化药物组合协同作用的Python库。

与单独使用单一药物治疗相比，多种药物治疗药物的组合可以获得实质性的好处。实现“超过其总和”的组合称为协同。已经提出了许多框架来理解和量化具有不同假设和适用范围的药物组合协同作用。我们在这里介绍synergy，这是一个Python库，它（i）实现了广泛的流行的synergy模型，（ii）提供了用于评估置信区间和进行功效分析的工具，并且（iii）提供了用于分析和可视化药物组合及其组合的标准化工具协同作用和对抗。