Navigating Non Coding Rna

Navigating Non-coding RNA

Navigating Non-coding RNA: From Biogenesis to Therapeutic Application provides a concise overview of the field of non-coding RNA (ncRNA). Chapters cover the history of discoveries that have occurred in the area of ncRNA, specific types of ncRNA, housekeeping ncRNAs such as ribosomal RNA, transfer RNA, small nuclear RNA and telomerase RNA, regulatory ncRNAs such as microRNA, small interfering RNA, long non-coding RNA and Y RNA. Biogenesis, structure, function, and regulation of each of these are also explored in addition to traditional and cutting-edge methods for the identification, functional characterization and structural characterization of ncRNA. The book also focuses on the different types of epitranscriptomic modifications and their involvement in regulating ncRNA structure, stability and intermolecular interactions in addition to the role of ncRNAs in a range of diseases and potential therapeutic applications. - Covers a wide range of non-coding RNAs, including ribosomal RNA, transfer RNA, telomerase RNA, microRNA, small interfering RNA and circular RNA - Features both traditional and novel methodologies for investigating ncRNA, from microarray and conventional chemical probing to CAGE-seq and computational methods - Includes chapters on ncRNAs in a range of diseases, including cancers, neurological disorders, cardiovascular conditions and infectious illnesses - Discusses novel therapeutic strategies for targeting ncRNAs, including CRISP/Ca9 applications and RNAi-based strategies - Explores the molecular mechanisms and intermolecular interactions of ncRNA

Prediction of Protein Secondary Structure

This second edition volume expands on the previous edition with updates on the latest methods, resources, and studies concerning analysis and prediction of various structural and functional aspects of proteins and ncRNAs. The chapters in this book cover topics such as secondary structure characterization and prediction; the use and impact of AI (including AlphaFold, large language models, and deep neural networks) in the protein structure prediction field; methods and resources for the prediction of posttranslational modifications, residue-residue contacts, subcellular localization, intrinsic disorder, protein-ligand interactions, and protein aggregation; analysis of cryo-EM data; and analysis of noncoding RNAs in the context of human diseases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions and surveys of the respective topics, list the necessary materials and methods, cover step-by-step instructions on how to use predictive tools and interpret their results, and provide tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Prediction of Protein Secondary Structure, Second Edition is a valuable resource for anyone interested in understanding the dynamic and growing field of the protein structure prediction.

Computational Biology of Non-Coding RNA