ArticleThe journal of physical chemistry. B2026
Kinetic Traps in RNA Folding: Targeted Design of Frameshifting Element Mutants by Thermodynamic and Kinetic Analysis of the Chikungunya Virus.
Article in The journal of physical chemistry. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Viral RNAs as Dual Graphs: Extending the Motif Universe of RNAs.bioRxiv : the preprint server for biology · 2026Article
- Open questions on viral frameshifting: Exploiting the structural plasticity of the frameshifting element for therapeutic intervention.Biophysical journal · 2026Review
- Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Chikungunya virus (CHIKV) employs a programmed ribosomal frameshifting element (FSE) to regulate the synthesis of its viral proteins, making the FSE an attractive antiviral target. Yet the structural dynamics that govern its function are complex and poorly understood, with multiple folds discovered. Through computational analysis, we suggest that the FSE's conformation is determined by a competition between thermodynamic stability and cotranslational folding kinetics. Using an integrated computational pipeline, we map the FSE's equilibrium landscape, revealing a thermodynamically favored pseudoknot that emerges only with sufficient flanking residues. We then use kinetic simulations to show that, for the wildtype sequence, this pseudoknot is often kinetically trapped in simpler, less stable stem loop structures that form more rapidly during synthesis. Using this information, we rationally design several mutants to target different folds in the FSE's repertoire. We demonstrate that while a purely thermodynamic design can fail due to kinetic traps, an iterative design procedure, informed by kinetic analysis, can drive the FSE onto a target conformation. Our work explores conformational plasticity and multiple folding pathways of the CHIKV FSE, shows how cotranslational kinetics influence the fold-switching landscapes, establishes a computational framework for kinetic-based RNA engineering, and highlights the importance of considering folding pathways in the design of RNA-targeted therapeutics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.