You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments. This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system. Bioinformatics researchers are required to be trained in multidisciplinary fields of biology, mathematics and computer science. Currently the requirements are satisfied by ad hoc researchers who have specific skills in biology or mathematics/computer science. But the learning curve is steep and the time required to communicate using domain specific terms is becoming a major bottle neck in scientific productivity. This workbook provides hands-on experience which has been lacking for qualified bioinformatics researchers.
This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics.
The book explores the intricate connections between the nervous and immune systems in the context of neurodegenerative disorders, offering a comprehensive overview of the bidirectional communication between these systems and their implications for disease progression and therapeutic interventions. The book aims to understand the recent developments in the field of neuroimmune communication. Key Features: In-depth analysis of immunological biomarkers and therapeutic targets for neurodegenerative disorders. Exploration of the role of glial cells in neuroimmune interactions and their dual nature in disease pathology. Examination of short- and long-range interactions between the central nervous ...
None
None
The topics covered by this volume include: protein destabilization at low temperatures; engineering the stability and function of Gene V Protein; free energy balance in protein folding; modelling protein stability as a heteropolymer collapse; stability of alpha helices; protein stability with T4 Lysozyme.