synergy - A Python library for calculating, analyzing, and visualizing drug combination synergy

Abstract

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.

Publication
Bioinformatics
Postdoctoral Scholar

I am a mathematical and computational systems biologist doing research at the interface of theory and data. I have applied my work in cancer, plants, and yeast.