SynToxProfiler: An interactive analysis of drug combination synergy, toxicity and efficacy

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Ianevski , A , Timonen , S , Kononov , A , Aittokallio , T & Giri , A K 2020 , ' SynToxProfiler: An interactive analysis of drug combination synergy, toxicity and efficacy ' , PLoS Computational Biology , vol. 16 , no. 2 , 1007604 . https://doi.org/10.1371/journal.pcbi.1007604

Title: SynToxProfiler: An interactive analysis of drug combination synergy, toxicity and efficacy
Author: Ianevski, Aleksandr; Timonen, Sanna; Kononov, Alexander; Aittokallio, Tero; Giri, Anil K.
Contributor: University of Helsinki, Computational Systems Medicine
University of Helsinki, Computational Systems Medicine
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Helsinki Institute for Information Technology
University of Helsinki, Institute for Molecular Medicine Finland
Date: 2020-02-03
Language: eng
Number of pages: 13
Belongs to series: PLoS Computational Biology
ISSN: 1553-734X
URI: http://hdl.handle.net/10138/317693
Abstract: Author summary High-throughput combinatorial screening is an established approach to identify candidate drug combinations to be further developed as safe and effective treatment options for many diseases, such as various types of cancers, bacterial, malarial, and viral infections. The selection of top performing drug combinations for further development is an important step for the success of the screen, where not only the synergy but also selective efficacy and potential toxicity of the drug pairs should be critically assessed. Currently, there is no method available for this; therefore, we developed SynToxProfiler tool, which was demonstrated in two different application cases to prioritize synergistic drug pairs with higher efficacy and lower toxicity as top hits, providing thus an increased likelihood for their clinical success.
Subject: 1182 Biochemistry, cell and molecular biology
113 Computer and information sciences
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