Abstract
An effective monotherapy to target the complex and multifactorial pathology of SARS-CoV-2 infection poses a challenge to drug repositioning, which can be improved by combination therapy. We developed an online network pharmacology-based drug repositioning platform, COVID-CDR (http://vafaeelab.com/COVID19repositioning.html), that enables a visual and quantitative investigation of the interplay between the drug primary targets and the SARS-CoV-2–host interactome in the human protein-protein interaction network. COVID-CDR prioritizes drug combinations with the potential to act synergistically through different, yet potentially complementary pathways. It provides the options for understanding multi-evidence drug-pair similarity scores along with several other relevant information on individual drugs or drug pairs. Overall, COVID-CDR is the first-of-its-kind online platform that provides a systematic approach for pre-clinical in silico investigation of combination therapies for treating COVID-19 at the fingertips of the clinicians and researchers.
Supplementary materials
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Supplementary Information
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This supplementary information contains supplementary methods and figures.
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Supplementary Tables
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All the supplementary tables related to the manuscripts, i.e. important COVID-CDR data
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Figure 1
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Schematic workflow for the content and construction of COVID-CDR
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Figure 2
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An overview of COVID-CDR web interface (R Shiny)
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Figure 3
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Integrated network visualization generated for a pair-wise combination of LY2275796 (Cap independent translation inhibitor-Glycosides) and Cyclosporine (Calceinurin inhibitor-immunosuppressant)
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Manuscript
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Updated manuscript
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