A kinetic modeling platform for predicting the efficacy of siRNA formulations in vitro and in vivo

Abstract

SummaryWe present a computational modeling protocol that can accurately predict changes in both in vitro and in vivo gene expression levels in response to the application of various siRNA formulations. Users can obtain crucial information (i.e., maximum silencing level; duration of silencing) towards the design of therapeutically relevant dosing regimens with experimental measurements from a single time point as an input. This ability to simulate numerous experimental gene silencing scenarios has not been demonstrated previously with other RNA interference models.Graphical abstract