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Computer Modeling Reveals How Surprisingly Potent Hepatitis C Drug Works
Date:2/19/2013

cause such a rapid drop in the amount of virus in an infected person's blood could greatly enhance our ability to design optimal drug therapies and ultimately cure this disease," said Alan Perelson , senior author on the paper and a senior fellow at Los Alamos National Laboratory

A mathematical method called "viral kinetic modeling" aims to characterize the main mechanisms that govern the virologic response to treatment. It is instrumental in understanding HCV pathogenesis and in guiding development of a variety of anti-HCV agents.

Until now, viral kinetic models did not take into account the intracellular events during viral replication and infected cells were considered as "black boxes" whose viral production was partially shut down by treatment.

The researchers demonstrated that understanding the effects of daclatasvir in vivo requires a novel modeling approach that incorporates drug effects on the HCV intracellular lifecycle. They used this new model to characterize the viral kinetics during daclatasvir therapy and they showed that this compound efficiently blocked two distinct processes, namely the synthesis of new viral genomes (like other antivirals) but also the release of the virus from infected cells.

As a consequence of this unique mode of action, the viral decline observed during treatment with daclatasvir allowed for more precise estimation of the HCV half-life in serum, about 45 minutes, instead of the previously estimated 2.7 hours. This implies that the daily viral production; and thus the risk of mutations conferring drug resistance, is four times larger than previously thought.

About the team

The study is by researchers Alan S. Perelson from Los Alamos National Laboratory, Susan L. Uprichard and Natasha Sansone from University of Illinois at Chicago; Har
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SOURCE Los Alamos National Laboratory
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