Optimization of a novel biophysical model using large scale in vivo antisense hybridization data displays improved prediction capabilities of structurally accessible RNA regions

Current approaches to design efficient antisense RNAs (asRNAs) rely primarily on a thermodynamic understanding of RNA–RNA interactions. However, these approaches depend on structure predictions and have limited accuracy, arguably due to overlooking important cellular environment factors. In this wor...

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Detalles Bibliográficos
Autores principales: Vazquez-Anderson, Jorge, Mihailovic, Mia K., Baldridge, Kevin C., Reyes, Kristofer G., Haning, Katie, Cho, Seung Hee, Amador, Paul, Powell, Warren B., Contreras, Lydia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
RNA
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435917/
https://www.ncbi.nlm.nih.gov/pubmed/28334800
http://dx.doi.org/10.1093/nar/gkx115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435917/
https://www.ncbi.nlm.nih.gov/pubmed/28334800
http://dx.doi.org/10.1093/nar/gkx115

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