The RNA biology journal is launching a new open‑access article collection called “Exploring RNA Biology with Deep Learning Algorithms” to bring together the latest breakthroughs at the intersection of transcriptomics, RNA structure prediction, molecular design and AI‑driven approaches.
In this mini-review we discuss the concept of RNA structure conservation in viruses, using exoribonuclease-resistant RNAs from flaviviruses as prominent examples
The rational design of vaccine mRNAs and barbeque share common traits: Both require extensive optimization and benefit from experience
This study highlights the crucial role of untranslated regions (UTRs) in flaviviruses and the discovery of exoribonuclease resistant RNAs (xrRNAs). These findings showcase the importance of virus bioinformatic studies in advancing our understanding of infectious diseases and their relevance to broader health goals
Riboswitches are RNA molecules that regulate gene expression by sensing metabolites, presenting an interesting target for synthetic biology applications. We present a computational approach based on ViennaRNA tools to dissect and model RNA-ligand interaction dynamics under kinetic control, enabling simulation of riboswitch folding