RNA Structure Prediction

This book explores recent progress in RNA secondary, tertiary structure prediction, and its application, highlighting the need for integration of new data and analysis techniques. It is written for the Methods in Molecular Biology series and serves as a valuable guide for both experimental and computational RNA researchers.

Format: Hardback
Length: 290 pages
Publication date: 28 January 2023
Publisher: Springer-Verlag New York Inc.

This comprehensive book delves into the latest advancements in RNA secondary, tertiary structure prediction, and their wide-ranging applications. With the emergence of advanced experimental protocols and devices, the integration of diverse data types and novel analysis techniques becomes crucial, necessitating the exploration of additional topics closely related to RNA structure prediction. These include the identification of structure-disrupting mutations, the efficient analysis of large datasets, and the creation of 3D structures for RNA molecules. Authored by renowned experts in the field, the chapters in this book offer invaluable guidance on implementing effective methods, ensuring high-quality research outcomes. Serving as a valuable resource for both experimental and computational RNA researchers, RNA Structure Prediction provides authoritative and practical insights into this rapidly evolving field.

Introduction:
RNA secondary, tertiary structure prediction has witnessed significant progress in recent years, driven by advancements in experimental protocols and computational methods. This book aims to provide a comprehensive exploration of these developments, highlighting their applications in various fields.
Advances in Experimental Protocols and Devices:
The integration of new types of data, such as next-generation sequencing (NGS) and single-molecule sequencing (SMS), has revolutionized RNA structure prediction. These technologies enable the rapid generation of large amounts of RNA sequence data, providing valuable insights into RNA structure and function. Additionally, the development of advanced experimental devices, such as cryo-electron microscopy (cryo-EM) and X-ray crystallography, has allowed for the precise determination of RNA structures at high resolutions.
Integration of New Data Types and Analysis Techniques:
With the availability of diverse data types, including RNA sequencing data, structural information from homologous proteins, and experimental measurements, it becomes essential to employ novel analysis techniques to accurately predict RNA structures. Machine learning algorithms, deep learning networks, and statistical modeling have emerged as powerful tools in RNA structure prediction, enabling the identification of patterns and relationships in the data that traditional methods may miss.
Additional Topics Related to RNA Structure Prediction:
In addition to RNA structure prediction, this book discusses several closely related topics. These include the detection of structure-disrupting mutations, which can have significant implications in RNA function and disease. High-throughput structure analysis, which involves the rapid screening of large datasets to identify potential RNA structures, is also discussed. Finally, 3D structure design, which involves the computational modeling of RNA structures based on experimental data and computational methods, is explored.
Authoritative and Practical Guidance:
The chapters in this book are written by renowned experts in the field, providing authoritative and practical guidance on implementing effective methods in RNA structure prediction. Each chapter features detailed implementation advice, step-by-step protocols, and examples to facilitate the understanding and execution of the discussed techniques.
Conclusion:
RNA Structure Prediction has become an essential tool in RNA research and biotechnology. This book serves as a valuable guide for both experimental and computational RNA researchers, providing comprehensive coverage of recent progress in RNA secondary, tertiary structure prediction, and their applications. With the continued advancements in experimental protocols and computational methods, we can expect to see further breakthroughs in our understanding of RNA structure and function in the future.

Weight: 794g
Dimension: 254 x 178 (mm)
ISBN-13: 9781071627679
Edition number: 1st ed. 2023