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

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. Implementation and Availability: 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.

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Work Title synergy: A Python library for calculating, analyzing, and visualizing drug combination synergy
Access
Open Access
Creators
  1. David J. Wooten
  2. Réka Albert
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Bioinformatics
Publication Date September 22, 2020
Publisher Identifier (DOI)
  1. https://doi.org/10.1093/bioinformatics/btaa826
Related URLs
Deposited August 01, 2022

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Version 1
published

  • Created
  • Added PyPI_Synergy.pdf
  • Added Creator David J Wooten
  • Added Creator Reka Albert
  • Published
  • Updated Work Title, Description, Related URLs, and 1 more Show Changes
    Work Title
    • synergy - A Python library for calculating, analyzing, and visualizing drug combination synergy
    • synergy: A Python library for calculating, analyzing, and visualizing drug combination synergy
    Description
    • <jats:title>Abstract</jats:title><br> <jats:sec><br> <jats:title>Summary</jats:title><br> <jats:p>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.</jats:p><br> </jats:sec><br> <jats:sec><br> <jats:title>Implementation and Availability</jats:title><br> <jats:p>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.</jats:p><br> </jats:sec>
    • 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.
    • Implementation and Availability: 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.
    Related URLs
    • https://pypi.org/project/synergy, https://github.com/djwooten/synergy
    Publication Date
    • 2020-09-01
    • 2020-09-22
  • Renamed Creator David J. Wooten Show Changes
    • David J Wooten
    • David J. Wooten
  • Renamed Creator Réka Albert Show Changes
    • Reka Albert
    • Réka Albert