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SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets

Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug combination datasets. Here, we report the major updates to the SynergyFinder R package for improved interpretation and anno...

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Autores principales: Zheng, Shuyu, Wang, Wenyu, Aldahdooh, Jehad, Malyutina, Alina, Shadbahr, Tolou, Tanoli, Ziaurrehman, Pessia, Alberto, Tang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801064/
https://www.ncbi.nlm.nih.gov/pubmed/35085776
http://dx.doi.org/10.1016/j.gpb.2022.01.004
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author Zheng, Shuyu
Wang, Wenyu
Aldahdooh, Jehad
Malyutina, Alina
Shadbahr, Tolou
Tanoli, Ziaurrehman
Pessia, Alberto
Tang, Jing
author_facet Zheng, Shuyu
Wang, Wenyu
Aldahdooh, Jehad
Malyutina, Alina
Shadbahr, Tolou
Tanoli, Ziaurrehman
Pessia, Alberto
Tang, Jing
author_sort Zheng, Shuyu
collection PubMed
description Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug combination datasets. Here, we report the major updates to the SynergyFinder R package for improved interpretation and annotation of drug combination screening results. Unlike the existing implementations, the updated SynergyFinder R package includes five main innovations. 1) We extend the mathematical models to higher-order drug combination data analysis and implement dimension reduction techniques for visualizing the synergy landscape. 2) We provide a statistical analysis of drug combination synergy and sensitivity with confidence intervals and P values. 3) We incorporate a synergy barometer to harmonize multiple synergy scoring methods to provide a consensus metric for synergy. 4) We evaluate drug combination synergy and sensitivity to provide an unbiased interpretation of the clinical potential. 5) We enable fast annotation of drugs and cell lines, including their chemical and target information. These annotations will improve the interpretation of the mechanisms of action of drug combinations. To facilitate the use of the R package within the drug discovery community, we also provide a web server at www.synergyfinderplus.org as a user-friendly interface to enable a more flexible and versatile analysis of drug combination data.
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spelling pubmed-98010642022-12-31 SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets Zheng, Shuyu Wang, Wenyu Aldahdooh, Jehad Malyutina, Alina Shadbahr, Tolou Tanoli, Ziaurrehman Pessia, Alberto Tang, Jing Genomics Proteomics Bioinformatics Application Note Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug combination datasets. Here, we report the major updates to the SynergyFinder R package for improved interpretation and annotation of drug combination screening results. Unlike the existing implementations, the updated SynergyFinder R package includes five main innovations. 1) We extend the mathematical models to higher-order drug combination data analysis and implement dimension reduction techniques for visualizing the synergy landscape. 2) We provide a statistical analysis of drug combination synergy and sensitivity with confidence intervals and P values. 3) We incorporate a synergy barometer to harmonize multiple synergy scoring methods to provide a consensus metric for synergy. 4) We evaluate drug combination synergy and sensitivity to provide an unbiased interpretation of the clinical potential. 5) We enable fast annotation of drugs and cell lines, including their chemical and target information. These annotations will improve the interpretation of the mechanisms of action of drug combinations. To facilitate the use of the R package within the drug discovery community, we also provide a web server at www.synergyfinderplus.org as a user-friendly interface to enable a more flexible and versatile analysis of drug combination data. Elsevier 2022-06 2022-01-25 /pmc/articles/PMC9801064/ /pubmed/35085776 http://dx.doi.org/10.1016/j.gpb.2022.01.004 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Application Note
Zheng, Shuyu
Wang, Wenyu
Aldahdooh, Jehad
Malyutina, Alina
Shadbahr, Tolou
Tanoli, Ziaurrehman
Pessia, Alberto
Tang, Jing
SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
title SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
title_full SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
title_fullStr SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
title_full_unstemmed SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
title_short SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets
title_sort synergyfinder plus: toward better interpretation and annotation of drug combination screening datasets
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801064/
https://www.ncbi.nlm.nih.gov/pubmed/35085776
http://dx.doi.org/10.1016/j.gpb.2022.01.004
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