RNA Therapeutics, RNA Drug Discovery, Computational Biology, Bioinformatics, RNA Therapeutic Design, Artificial Intelligence in Drug Discovery, Machine Learning in RNA Research, RNA Structure Prediction, RNA Folding, RNA Databases, siRNA Therapeutics, miRNA Therapeutics, mRNA Therapeutics, Molecular Docking, Molecular Dynamics, Systems Biology, Multi-Omics Integration, Synthetic Biology, RNA Delivery Systems, Personalized RNA Medicine
Computational and Systems Approaches in RNA Therapeutic Design presents an interdisciplinary approach to the rapidly developing field of RNA-based medicine, bringing together RNA biology, bioinformatics, computational biology, artificial intelligence, machine learning, systems biology and drug discovery. Computational methods are increasingly important for RNA therapeutic development, including RNA structure prediction, target identification, molecular modelling, sequence design and delivery optimization.
The book begins with the fundamentals of RNA therapeutics, RNA structure, function and stability, before progressing to computational tools for RNA folding and structure prediction and databases supporting RNA research. It explores AI and machine learning in RNA drug discovery, in-silico design of siRNA, miRNA and mRNA therapeutics, molecular docking and molecular dynamics, and systems-level analysis of RNA regulatory networks.
