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Updated: Dec 11, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Accelerating Clinical Evaluation of Repurposed Combination Therapies for COVID-19
Craig R Rayner1,2, Louis Dron3,4, Jay J H Park4,5
11Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Australia.
Abstract:
As the global COVID-19 pandemic continues, unabated and clinical trials demonstrate limited effective pharmaceutical interventions, there is a pressing need to accelerate treatment evaluations. Among options for accelerated development is the evaluation of drug combinations in the absence of prior monotherapy data. This approach is appealing for a number of reasons. First, combining two or more drugs with related or complementary therapeutic effects permits a multipronged approach addressing the variable pathways of the disease. Second, if an individual component of a combination offers a therapeutic effect, then in the absence of antagonism, a trial of combination therapy should still detect individual efficacy. Third, this strategy is time saving. Rather than taking a stepwise approach to evaluating monotherapies, this strategy begins with testing all relevant therapeutic options. Finally, given the severity of the current pandemic and the absence of treatment options, the likelihood of detecting a treatment effect with combination therapy maintains scientific enthusiasm for evaluating repurposed treatments. Antiviral combination selection can be facilitated by insights regarding SARS-CoV-2 pathophysiology and cell cycle dynamics, supported by infectious disease and clinical pharmacology expert advice. We describe a clinical evaluation strategy using adaptive combination platform trials to rapidly test combination therapies to treat COVID-19.
Insights
Accelerating COVID-19 treatment evaluation is crucial. Adaptive combination platform trials rapidly test multiple drug combinations simultaneously, offering a time-saving approach to identify effective therapies for the novel coronavirus.
Area of Science:
- Infectious Diseases
- Clinical Pharmacology
- Drug Development
Background:
- The COVID-19 pandemic necessitates rapid identification of effective treatments.
- Existing pharmaceutical interventions show limited efficacy, highlighting the need for accelerated evaluation strategies.
- Evaluating drug combinations without prior monotherapy data presents a viable accelerated development option.
Purpose of the Study:
- To propose and describe a strategy for rapidly evaluating antiviral drug combinations for COVID-19 treatment.
- To leverage insights into SARS-CoV-2 pathophysiology and cell cycle dynamics for combination selection.
- To utilize adaptive platform trials for efficient testing of combination therapies.
Main Methods:
- Employing adaptive combination platform trials for simultaneous testing of multiple drug combinations.
- Selecting antiviral combinations based on scientific understanding of the virus and disease pathways.
- Integrating expert advice from infectious disease and clinical pharmacology specialists.
Main Results:
- The described strategy enables rapid assessment of combination therapies.
- This approach allows for the detection of individual drug efficacy within combinations, assuming no antagonism.
- The methodology supports scientific enthusiasm for evaluating repurposed treatments.
Conclusions:
- Adaptive combination platform trials offer an accelerated pathway for COVID-19 treatment development.
- This strategy addresses the urgent need for effective therapies against SARS-CoV-2.
- Combination therapy evaluation, guided by pathophysiology, is a promising approach for pandemic response.
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