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      Molecular simulations and Markov state modeling reveal the structural diversity and dynamics of a theophylline-binding RNA aptamer in its unbound state

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          Abstract

          RNA aptamers are oligonucleotides that bind with high specificity and affinity to target ligands. In the absence of bound ligand, secondary structures of RNA aptamers are generally stable, but single-stranded and loop regions, including ligand binding sites, lack defined structures and exist as ensembles of conformations. For example, the well-characterized theophylline-binding aptamer forms a highly stable binding site when bound to theophylline, but the binding site is unstable and disordered when theophylline is absent. Experimental methods have not revealed at atomic resolution the conformations that the theophylline aptamer explores in its unbound state. Consequently, in the present study we applied 21 microseconds of molecular dynamics simulations to structurally characterize the ensemble of conformations that the aptamer adopts in the absence of theophylline. Moreover, we apply Markov state modeling to predict the kinetics of transitions between unbound conformational states. Our simulation results agree with experimental observations that the theophylline binding site is found in many distinct binding-incompetent states and show that these states lack a binding pocket that can accommodate theophylline. The binding-incompetent states interconvert with binding-competent states through structural rearrangement of the binding site on the nanosecond to microsecond timescale. Moreover, we have simulated the complete theophylline binding pathway. Our binding simulations supplement prior experimental observations of slow theophylline binding kinetics by showing that the binding site must undergo a large conformational rearrangement after the aptamer and theophylline form an initial complex, most notably, a major rearrangement of the C27 base from a buried to solvent-exposed orientation. Theophylline appears to bind by a combination of conformational selection and induced fit mechanisms. Finally, our modeling indicates that when Mg 2+ ions are present the population of binding-competent aptamer states increases more than twofold. This population change, rather than direct interactions between Mg 2+ and theophylline, accounts for altered theophylline binding kinetics.

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          Canonical sampling through velocity-rescaling

          We present a new molecular dynamics algorithm for sampling the canonical distribution. In this approach the velocities of all the particles are rescaled by a properly chosen random factor. The algorithm is formally justified and it is shown that, in spite of its stochastic nature, a quantity can still be defined that remains constant during the evolution. In numerical applications this quantity can be used to measure the accuracy of the sampling. We illustrate the properties of this new method on Lennard-Jones and TIP4P water models in the solid and liquid phases. Its performance is excellent and largely independent on the thermostat parameter also with regard to the dynamic properties.
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            Aptamers as therapeutics

            Key Points Aptamers are single-stranded oligonucleotides that fold into defined architectures and bind to targets such as proteins. In binding proteins they often inhibit protein–protein interactions and thereby may elicit therapeutic effects such as antagonism. Aptamers are discovered using SELEX (systematic evolution of ligands by exponential enrichment), a directed in vitro evolution technique in which large libraries of degenerate oligonucleotides are iteratively and alternately partitioned for target binding. They are then amplified enzymatically until functional sequences are identified by the sequencing of cloned individuals. For most therapeutic purposes, aptamers are truncated to reduce synthesis costs, modified at the sugars and capped at their termini to increase nuclease resistance, and conjugated to polyethylene glycol or another entity to reduce renal filtration rates. The first aptamer approved for a therapeutic application was pegaptanib sodium (Macugen; Pfizer/Eyetech), which was approved in 2004 by the US Food and Drug Administration for macular degeneration. Eight other aptamers are currently undergoing clinical evaluation for various haematology, oncology, ocular and inflammatory indications. Aptamers are ultimately chemically synthesized in a readily scalable process in which specific conjugation points are introduced with defined stereochemistry. Unlike some protein therapeutics, aptamers do not elicit antibodies, and because aptamers generally contain sugars modified at their 2′-positions, Toll-like receptor-mediated innate immune responses are also abrogated. As aptamers are oligonucleotides they can be readily assembled into supramolecular multi-component structures using hybridization. Owing to the fact that binding to appropriate cell-surface targets can lead to internalization, aptamers can also be used to deliver therapeutic cargoes such as small interfering RNA. Supramolecular assemblies of aptamers and delivery agents have already been demonstrated in vivo and may pave the way for further therapeutic strategies with this modality in the future.
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              Aptamers as targeted therapeutics: current potential and challenges

              Nucleic acid aptamers offer several advantages over traditional antibodies, but their clinical translation has been delayed by several factors, including insufficient potency, lack of safety data and high production costs. Here, Zhou and Rossi provide an overview of aptamer generation, focusing on recent technological advances and clinical development, as well as challenges and lessons learned.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 April 2017
                2017
                : 12
                : 4
                : e0176229
                Affiliations
                [001]Department of Physical Sciences, University of Washington, Bothell, Washington, United States of America
                Hong Kong University of Science and Technology, HONG KONG
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: PCA.

                • Data curation: PCA.

                • Formal analysis: PCA.

                • Funding acquisition: PCA.

                • Investigation: BMW PCA.

                • Methodology: PCA.

                • Project administration: PCA.

                • Resources: PCA.

                • Software: PCA.

                • Supervision: PCA.

                • Validation: PCA.

                • Visualization: PCA.

                • Writing – original draft: PCA.

                • Writing – review & editing: PCA.

                Author information
                http://orcid.org/0000-0002-5494-9866
                Article
                PONE-D-17-00747
                10.1371/journal.pone.0176229
                5402969
                28437473
                230ef530-f62a-4c24-b126-94e91f9de9b9
                © 2017 Warfield, Anderson

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 January 2017
                : 8 April 2017
                Page count
                Figures: 13, Tables: 0, Pages: 34
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and life sciences
                Molecular biology
                Macromolecular structure analysis
                RNA structure
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                RNA structure
                Biology and Life Sciences
                Biochemistry
                Biochemical Simulations
                Biology and Life Sciences
                Computational Biology
                Biochemical Simulations
                Physical Sciences
                Physics
                Thermodynamics
                Free Energy
                Research and Analysis Methods
                Simulation and Modeling
                Physical Sciences
                Mathematics
                Probability Theory
                Markov Models
                Biology and life sciences
                Molecular biology
                Macromolecular structure analysis
                RNA structure
                RNA folding
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                RNA structure
                RNA folding
                Biology and Life Sciences
                Biophysics
                Biophysical Simulations
                Physical Sciences
                Physics
                Biophysics
                Biophysical Simulations
                Biology and Life Sciences
                Computational Biology
                Biophysical Simulations
                Physical Sciences
                Chemistry
                Chemical Physics
                Molecular Structure
                Physical Sciences
                Physics
                Chemical Physics
                Molecular Structure
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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