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Beyond its function as a messenger molecule in protein formation, the linear sequence on RNA is capable of folding into higher order structures which may interact with other molecules and play key functional roles in the cell. Current methods in characterizing RNA structure via experimental probing are limited to the population average, which obscures structural heterogeneity. This thesis addresses the problem of inferring structural heterogeneity from dimethyl sulphate (DMS) probing data. First, we analysed sequence data to uncover experimental biases and developed simulations for sample structures. We proposed and evaluated machine learning methods in unsupervised learning to infer structural heterogeneity. Secondly, we designed and implemented runDMC, a web platform designed to facilitate the discovery of alternative RNA secondary structures, using in vivo chemical probing data and machine learning clustering methods. runDMC accepts experimental probing data and provides an intuitive, user-friendly interface for discovery of alternative structures. We anticipate that runDMC will facilitate the widespread use of DMS probing and analysis in the biological community, enabling the discovery of more RNA alternative structures.
This book explores recent progress in RNA secondary, tertiary structure prediction, and its application from an expansive point of view. Because of advancements in experimental protocols and devices, the integration of new types of data as well as new analysis techniques is necessary, and this volume discusses additional topics that are closely related to RNA structure prediction, such as the detection of structure-disrupting mutations, high-throughput structure analysis, and 3D structure design. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detailed implementation advice that leads to quality research results. Authoritative and practical, RNA Structure Prediction serves as a valuable guide for both experimental and computational RNA researchers.
With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Moreover, knowledge of RNA 3D structures has proven crucial for understanding in atomic detail how they carry out their biological functions. Because of the huge number of potentially important RNA molecules in biology, many more than can be studied experimentally, we need theoretical approaches for predicting 3D structures on the basis of sequences alone. This volume provides a comprehensive overview of current progress in the field by leading practitioners employing a variety of methods to model RNA 3D structures by homology, by fragment assembly, and by de novo energy and knowledge-based approaches.
This volume provides protocols and procedures for determining and modeling RNA structure. Chapters guide the reader through protocols for RNA secondary structure prediction, single sequence modeling, Crumple, RNAstructure to model conserved secondary structures with multiple homologs, the prediction of bimolecular secondary structures with RNAstructure, STarMir, protocols for structure mapping, mapping data to constrain or restrain RNA secondary structure prediction with RNAstructure, unassigned NMR resonances, modeling protocols for Rosetta FARFAR, RNAComposer, ModeRNA, and MC-Fold. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and Practical, RNA Structure Determination: Methods and Protocols aims to ensure successful results in the further study of this vital field.
While structure-function relationships of proteins have been studied for a long time, structural studies of RNA face additional challenges. Nevertheless, with the continuous discovery of novel RNA molecules with key cellular functions and of novel pathways and interaction networks, the need for structural information of RNA is still increasing. This volume provides an introduction into techniques to assess structure and folding of RNA. Each chapter explains the theoretical background of one technique, and illustrates possibilities and limitations in selected application examples.
In this volume expert researchers in the field detail many of the methods which are now commonly used to study RNA. These methods are presented as a guidebook to scientists who are experienced with RNA research and want to brush up on a new technique. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Thorough and intuitive, RNA-RNA Interactions: Methods and Protocols guides scientists investigating biological systems and studying RNA.
This volume provides a wide spectrum of multidisciplinary approaches for studying RNA structure and dynamics, including detailed accounts of experimental and computational procedures. Chapters guide readers through cryo-electron microscopy, crystallography, isothermal titration calorimetry, small angle X-ray scattering, single-molecule Förster Energy transfer, X-ray free electron laser, atomic force microscopy, computational simulation, and prediction. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, RNA Structure and Dynamics aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field.
This MIE volume provides laboratory techniques that aim to predict the structure of a protein which can have tremendous implications ranging from drug design, to cellular pathways and their dynamics, to viral entry into cells. Expert researchers introduce the most advanced technologies and techniques in protein structure and folding Includes techniques on tiling assays
In RNA Mapping- Methods and Protocols expert researchers in the field detail many of the methods which are now commonly used to study RNA. These include protocols for the consequence of the emerging interest in the characterization of cellular RNAs urged by their potential use as diagnostic biomarkers or therapeutic targets. In particular, the biological relevance of microRNAs in human physiology and disease development is highlighted in the 16 chapters focused on methods for their physical and functional mapping. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, RNA Mapping- Methods and Protocols provides instruction and inspiration for scientists who are facing the challenges of the discovery and/or functional characterization of RNA molecules for a wide variety of applications ranging from novel biomedical diagnostics to therapeutics and biomaterials.
This paper summarizes our investigations into the computational detection of secondary and tertiary structure of ribosomal RNA. We have developed a new automated procedure that not only identifies potential bondings of secondary and tertiary structure, but also provides the covariation evidence that supports the proposed bondings, and any counter-evidence that can be detected in the known sequences. A small number of previously unknown bondings have been detected in individual RNA molecules (16S rRNA and 7S RNA) through the use of our automated procedure. Currently, we are systematically studying mitochondrial rRNA. Our goal is to detect tertiary structure within 16S rRNA and quaternary structure between 16S and 23S rRNA. Our ultimate hope is that automated covariation analysis will contribute significantly to a refined picture of ribosome structure. Our colleagues in biology have begun experiments to test certain hypotheses suggested by an examination of our program's output. These experiments involve sequencing key portions of the 23S ribosomal RNA for species in which the known 16S ribosomal RNA exhibits variation (from the dominant pattern) at the site of a proposed bonding. The hope is that the 23S ribosomal RNA of these species will exhibit corresponding complementary variation or generalized covariation. 24 refs.