Peptide Characterization And Application Protocols
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Peptide Characterization and Application Protocols
This book is dedicated to the characterization of peptides and their applications for the study of biochemical systems. The contributing authors are all leaders in the field of peptide research. Part I, Characterization, presents the most recent advances in select analytical techniques. Part II, Application, presents a variety of specific applications for synthetic peptides. This book is an indispensable aid in the pursuit of new directions in peptide research.
Gene Function Analysis
Author: Michael F. Ochs
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-08-23
With the advent of high-throughput technologies following completion of the human genome project and similar projects, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. This book brings together a number of recently developed techniques for looking at gene function, including computational, biochemical and biological methods and protocols.
Immunoinformatics
Author: Darren R. Flower
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-02-07
Immunoinformatics: Predicting Immunogenicity In Silico is a primer for researchers interested in this emerging and exciting technology and provides examples in the major areas within the field of immunoinformatics. This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. The volume is conveniently divided into four sections. The first section, Databases, details various immunoinformatic databases, including IMGT/HLA, IPD, and SYEPEITHI. In the second section, Defining HLA Supertypes, authors discuss supertypes of GRID/CPCA and hierarchical clustering methods, Hla-Ad supertypes, MHC supertypes, and Class I Hla Alleles. The third section, Predicting Peptide-MCH Binding, includes discussions of MCH binders, T-Cell epitopes, Class I and II Mouse Major Histocompatibility, and HLA-peptide binding. Within the fourth section, Predicting Other Properties of Immune Systems, investigators outline TAP binding, B-cell epitopes, MHC similarities, and predicting virulence factors of immunological interest. Immunoinformatics: Predicting Immunogenicity In Silico merges skill sets of the lab-based and the computer-based science professional into one easy-to-use, insightful volume.