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

David J. Wooten, Réka Albert

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Summary: 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.

Original languageEnglish (US)
Pages (from-to)1473-1474
Number of pages2
JournalBioinformatics
Volume37
Issue number10
DOIs
StatePublished - May 15 2021

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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