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bioRxiv · 10.1101/2022.06.01.494194

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

Roh, E. H.·Sullivan, M. O.·Epps, T. H.
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Abstract

We 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 O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/494194v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@17e68e0org.highwire.dtl.DTLVardef@17855corg.highwire.dtl.DTLVardef@349482org.highwire.dtl.DTLVardef@1ef38_HPS_FORMAT_FIGEXP M_FIG C_FIG

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Roh, E. H., Sullivan, M. O., Epps, T. H.. 2022-06-06. A kinetic modeling platform for predicting the efficacy of siRNA formulations in vitro and in vivo. https://doi.org/10.1101/2022.06.01.494194

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