The proposed reconstitution model provides a foundational predictive understanding of RNA folding thermodynamics and kinetics.
RNA tertiary mutations aid folding pathway dissection; leaves open predictive manipulation for therapeutic design.
values for mutations in a tertiary contact embedded in different structural contexts and under different electrostatic conditions. The kinetic effects of these mutations provide further support for modular behavior of RNA elements and suggest that tertiary mutations may be used to identify rate-limiting steps and dissect folding and assembly pathways for complex RNAs. Overall, our model and results are foundational for a predictive understanding of RNA folding that will allow manipulation of RNA folding thermodynamics and kinetics. Conversely, the approaches herein can identify cases where an independent, additive model cannot be applied and so require additional investigation.
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Bisaria et al. (2017) studied this question.
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