Sudhir Paul – författare

Antibodies are the instraments of immune defense and attack. They can bind small atomic arrays as well as large epitopes with high affinity. Antibody Engineering Protocols presents advanced protocols in the field of antibody engineering, reviews of basic principles and methodology, and a historical perspective on the development of cur- rently held beliefs about antibody structure-function relationships. The topics cover analysis of antibody sequences, three-dimensional structure, delineation of antibody characteristics in polyclonal mixtures, phage display of natural and synthetic antibodies, and antibody catalysis. Ligand recognition by antibodies occurs primarily at a subset of amino acid residues located in the complementarity determining regions (CDRs) found in the light (L) and heavy (H) chain subunits. Specific antibodies are developed by immunization with molecules identical to or related in structure to the target ligand.The immune repertoire from nonimmunized individuals also contains pre-existing specificities that can be selected by screening libraries composed of hybridoma cells or phage particles displaying F domains or indi- vidual variable domains of the light (VJ and heavy (V^^) chains. Ran- dom or site-directed mutagenesis in vitro can be used to refine the pre-existing specificities or produce new specificities de novo. Another level at which new specificities may be generated in vitro is V^ and V^ domain-swapping and CDR-swapping. The former procedure embodies a variation of natural mechanisms of generating antibody diversity. The latter procedure produces new intramolecular CDR combinations not found in nature.

Autoimmune Reactions tackles fundamental questions about how the immune system can destroy invading microbial pathogens without causing damage to itself and other "self" systems. The authoritative experts writing here explore the mechanistic aspects of such autoimmune diseases as lupus, rheumatoid arthritis, diabetes, and autoimmune thyroid disease, and where possible delineate how malfunctioning immunological mechanisms can lead to clinical symptoms. They also discusses possible general mechanisms of autoimmune disease - e.g., molecular mimicry and dysfunctional antigen presentation - and their current limitations as unifying explanations of the diseases described. The book illustrates the type of thinking and research that should eventually permit development of palliatives and cures for autoimmune diseases.

Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas.Key Features:•Includes the most up-to-date methods•Use simple examples to demonstrate complex methods•Uses real data from a number of areas•Examples utilize R code

Autoimmune Reactions tackles fundamental questions about how the immune system can destroy invading microbial pathogens without causing damage to itself and other "self" systems. The authoritative experts writing here explore the mechanistic aspects of such autoimmune diseases as lupus, rheumatoid arthritis, diabetes, and autoimmune thyroid disease, and where possible delineate how malfunctioning immunological mechanisms can lead to clinical symptoms. They also discusses possible general mechanisms of autoimmune disease-e.g., molecular mimicry and dysfunctional antigen presentation-and their current limitations as unifying explanations of the diseases described. The book illustrates the type of thinking and research that should eventually permit development of palliatives and cures for autoimmune diseases.

The authoritative experts writing here explore the mechanistic aspects of such autoimmune diseases as lupus, rheumatoid arthritis, diabetes, and autoimmune thyroid disease, and where possible delineate how malfunctioning immunological mechanisms can lead to clinical symptoms.

Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas.Key Features:•Includes the most up-to-date methods•Use simple examples to demonstrate complex methods•Uses real data from a number of areas•Examples utilize R code