Liver Immunology : Principles and Practice
parasitic and viral infections of the liver, autoimmune liver disease, alcoholic and nonalcoholic fatty liver diseases, and transplantation in an easy-to-read and thorough format. Authors also address the key issues that have arisen in this field in recent years, including physiological roles of hepatocytes, sinusoidal lining cells, activated macrophages (Kupffer cells), cholangiocytes and stellate cells, and their modulation of T cells, natural killer (NK) cells and NKT cells.
Anti-viral metabolites from medicinal plants
Covers general concepts of anti-viral metabolites, classifications, ethnopharmacology, chemistry, clinical and preclinical studies focusing on different medicinal plants against various types of viral infections. Various plants have been used in medicine since ancient times and are known for their strong therapeutic effects. The book will describe potential antiviral properties of medicinal plants against a diverse group of viruses, and provide an insight to the potential plants possess for broad-spectrum antiviral effects against emerging viral infections.The book aims to target a broad audience including virologists, molecular biologist, microbiologist and scientists working with natural products as well as researchers, students, healthcare experts involved in pharmaceutical and medical field.
Antiviral drug discovery and development
Summarizes antiviral drug design and discovery approaches Provides the latest update in the field of antiviral therapeutics Includes antiviral research of coronaviruses
Killer Cell Dynamics : Mathematical and Computational Approaches to Immunology
Reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematical models allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attained by experiments alone, and can be used for the design of further experiments in order to address the mathematical results.



