Structure-Based Model of RNA Pseudoknot Captures Magnesium-Dependent Folding Thermodynamics.

Ana Mandic, Ryan L Hayes, Heiko Lammert, Ryan R Cheng, José N Onuchic

Journal: The journal of physical chemistry. B 2020;123(7):1505-1511

PMID: 30676755

Abstract

We develop a simple, coarse-grained approach for simulating the folding of the Beet Western Yellow Virus (BWYV) pseudoknot toward the goal of creating a transferable model that can be used to study other small RNA molecules. This approach combines a structure-based model (SBM) of RNA with an electrostatic scheme that has previously been shown to correctly reproduce ionic condensation in the native basin. Mg ions are represented explicitly, directly incorporating ion-ion correlations into the system, and K is represented implicitly, through the mean-field generalized Manning counterion condensation theory. Combining the electrostatic scheme with a SBM enables the electrostatic scheme to be tested beyond the native basin. We calibrate the SBM to reproduce experimental BWYV unfolding data by eliminating overstabilizing backbone interactions from the molecular contact map and by strengthening base pairing and stacking contacts relative to other native contacts, consistent with the experimental observation that relative helical stabilities are central determinants of the RNA unfolding sequence. We find that this approach quantitatively captures the Mg dependence of the folding temperature and generates intermediate states that better approximate those revealed by experiment. Finally, we examine how our model captures Mg condensation about the BWYV pseudoknot and a U-tail variant, for which the nine 3' end nucleotides are replaced with uracils, and find our results to be consistent with experimental condensation measurements. This approach can be easily transferred to other RNA molecules by eliminating and strengthening the same classes of contacts in the SBM and including generalized Manning counterion condensation.

Address: Center for Theoretical Biological Physics , Rice University , Houston , Texas 77005 , United States.; Department of Chemistry , University of Michigan , Ann Arbor , Michigan 48109 , United States.

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