"Cells are the basic units of life, and yet they are regulated by many delicate and to some extent, fragile, subcellular processes that are crucial to their survival. A simple genetic mutation could possibly clog up some important regulatory processes, or perturb the function of the product it encodes, which might ultimately bring the demise of the entire system. Therefore, it is important to gain more insights into the many control processes of cell and the regulatory factors associated with them, one prominent example of which would be the mechanism related to the RNA subcellular localization that we would focus on almost exclusively in this study from a computational perspective.RNA subcellular localization mechanism is one of the most important, yet under-appreciated, facets of the broader gene regulatory process, which helps with the cellular organization and regulation on gene expression, via transporting the RNA transcripts to their designated locations where their function, structure or translated proteins are needed. It is generally accepted as a fact that RNA trafficking mechanism is mediated between the trans-regulatory factors such as the RNA binding proteins, and the cis-acting elements — short snippets of the transcript that contain the RBP binding sites — which we call zipcode as they are considered to contain information on its address of delivery.The release of new RNA subcellular localization dataset has enabled us to build the first computational tool using state-of-the-art deep learning techniques, to predict the localization outcome for the protein-coding RNA from mere transcript sequence, and subsequently to identify the zipcode elements thereof. Our proposed method has achieved good accuracy compared to the baseline methods based on the k-mers features, despite the intrinsic difficulty that arise from the complex and stochastic interactions during trafficking events, as well as the limitations imposed by the available dataset"--

The study of RNA-protein interactions is crucial to understanding the mechanisms and control of gene expression and protein synthesis. The realization that RNAs are often far more biologically active than was previously appreciated has stimulated a great deal of new research in this field. Uniquely, in this book, the world's leading researchers have collaborated to produce a comprehensive and current review of RNA-protein interactions for all scientists working in this area. Timely, comprehensive, and authoritative, this new Frontiers title will be invaluable for all researchers in molecular biology, biochemistry and structural biology.

This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).

Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.

This book provides both in-depth background and up-to-date information in this area. The chapters are organized by general themes and principles, written by experts who illustrate topics with current findings. Topics covered include: - the role of ions and hydration in protein-nucleic acid interactions - transcription factors and combinatorial specificity - indirect readout of DNA sequence - single-stranded nucleic acid binding proteins - nucleic acid junctions and proteins, - RNA protein recognition - recognition of DNA damage. It will be a key reference for both advanced students and established scientists wishing to broaden their horizons.