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• W3000020439 abstract "ABSTRACT Successful clinical drug development requires rational design of combination treatments based on preclinical data. Anti-HCV drugs exhibit significant diversity in antiviral effect. Dose-response assessments can be used to determine parameters profiling the diverse antiviral effect during combination treatment. In the current study, a combined experimental and mathematical approaches were used to compare and score different combinations of anti-hepatitis C virus (HCV) treatments. A “required concentration index” was generated and used to rank the antiviral profile of possible double- and triple-drug combinations against HCV genotype 1 and 2. Rankings varied based on target HCV genotype. Interestingly, multidrug (double and triple) treatment not only augmented antiviral activity, but also reduced genotype-specific efficacy, suggesting another advantage of multidrug treatment. The current study provides a quantitative method for profiling drug combinations against viral genotypes, to better inform clinical drug development." @default.
• W3000020439 created "2020-01-23" @default.
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• W3000020439 date "2020-01-09" @default.
• W3000020439 modified "2023-09-27" @default.
• W3000020439 title "Required concentration index quantifies effective drug combinations against hepatitis C virus infection" @default.
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• W3000020439 doi "https://doi.org/10.1101/2020.01.09.899807" @default.
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