Humana Immunoinformatics: Predicting Immunogenicity In Silico

Immunoinformatics: Predicting Immunogenicity In Silico serves as an essential primer for researchers exploring this emerging technology. This volume provides a solid foundation for applying immunoinformatics techniques within the fields of immunology and vaccinology. By offering practical examples across major areas of the field, it helps readers understand how to use computational methods to predict immunogenicity. The text is organized into four distinct sections to guide the reader through complex topics. It covers vital databases such as IMGT/HLA, IPD, and SYEPEITHI. Additionally, the volume addresses the definition of HLA Supertypes, helping researchers navigate the technical aspects of immunoinformatic data. This book is a valuable resource for those looking to integrate computer science methods into biological research and vaccine development.