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A kinetic modeling platform for predicting the efficacy of siRNA formulations in vitro and in vivo
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. We describe how to use this Python-based pipeline to obtain crucial information, namely maximum silencing...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597118/ https://www.ncbi.nlm.nih.gov/pubmed/36313537 http://dx.doi.org/10.1016/j.xpro.2022.101723 |