ArticleJournal of the American Chemical Society2013
Kinetics of allosteric transitions in S-adenosylmethionine riboswitch are accurately predicted from the folding landscape.
Article in Journal of the American Chemical Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 26 citations in OpenAlex.
- Recent advances in coarse-grained simulations of nucleic acid condensation.The Biochemical journal · 2026Review
- NupR Responding to Multiple Signals Is a Nucleoside Permease Regulator in Bacillus thuringiensis BMB171.Microbiology spectrum · 2022Article
- Incorporation of a FRET Pair into a Riboswitch RNA to Measure MgInternational journal of molecular sciences · 2022Article
- Effects of flanking regions on HDV cotranscriptional folding kinetics.RNA (New York, N.Y.) · 2018Article
- Computational Methods for Modeling Aptamers and Designing Riboswitches.International journal of molecular sciences · 2017Review
- Co-Transcriptional Folding and Regulation Mechanisms of Riboswitches.Molecules (Basel, Switzerland) · 2017Review
- Salt Effects on the Thermodynamics of a Frameshifting RNA Pseudoknot under Tension.Journal of molecular biology · 2016Article
- SOP-GPU: influence of solvent-induced hydrodynamic interactions on dynamic structural transitions in protein assemblies.Journal of computational chemistry · 2016Article
- Understanding the kinetic mechanism of RNA single base pair formation.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Generalized Manning Condensation Model Captures the RNA Ion Atmosphere.Physical review letters · 2015Article
- Using simulations and kinetic network models to reveal the dynamics and functions of riboswitches.Methods in enzymology · 2015Article
- Common themes and differences in SAM recognition among SAM riboswitches.Biochimica et biophysica acta · 2014Review
- Dynamics of riboswitches: Molecular simulations.Biochimica et biophysica acta · 2014Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Riboswitches are RNA elements that allosterically regulate gene expression by binding cellular metabolites. The SAM-III riboswitch, one of several classes that binds S-adenosylmethionine (SAM), represses translation upon binding SAM (OFF state) by encrypting the ribosome binding sequence. We have carried out simulations of the RNA by applying mechanical force (f) to the ends of SAM-III, with and without SAM, to get quantitative insights into the f-dependent structural changes. Force-extension (z) curves (FECs) for the apo (ON) state, obtained in simulations in which f is increased at a constant loading rate, show three intermediates, with the first one being the rupture of SAM binding region, which is greatly stabilized in the OFF state. Force-dependent free energy profiles, G(z,f), as a function of z, obtained in equilibrium constant force simulations, reveal the intermediates observed in FECs. The predicted stability difference between the ON and OFF states using G(z,f) is in excellent agreement with experiments. Remarkably, using G(z,f)s and estimate of an effective diffusion constant at a single value of f allows us to predict the f-dependent transition rates using theory of first passage times for both the apo and holo states. To resolve the kinetics of assembly of SAM-III riboswitch in structural terms, we use force stretch-quench pulse sequences in which the force on RNA is maintained at a low (fq) value starting from a high value for a time period tq. Variation of tq over a wide range results in resolution of elusive states involved in the SAM binding pocket and leads to accurate determination of folding times down to fq = 0. Quantitative measure of the folding kinetics, obtained from the folding landscape, allows us to propose that, in contrast to riboswitches regulating transcription, SAM-III functions under thermodynamic control provided the basal concentration of SAM exceeds a small critical value. All of the predictions are amenable to tests in single molecule pulling experiments.
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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.