Author: Lund, Ole ; et al:
Title: Immunological Bioinformatics
Description: Cambridge [MA], MIT Press, (2005). orig.boards. 25x17cm, xii,296,(24)pp. 24pp plates.. Minor rubbing. An ink mark to top page-edge. VG. ¶ Contents: Immune systems and systems biology -- Contemporary challenges to the immune system -- Sequence analysis in immunology -- Methods applied in immunological bioinformatics -- DNA microarrays in immunology -- Prediction of cytotoxic T cell (MHC class I) epitopes -- Antigen processing in the MHC class I pathway -- Prediction of helper T cell (MHC class II) epitopes -- Processing of MHC class II epitopes -- B cell epitopes -- Vaccine design -- Web-based tools for vaccine design -- MHC polymorphism -- Predicting immunogenicity : an integrative approach [" Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new data-driven algorithms. Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines within biology, research in immunological bioinformatics has already developed models of components of the immune system that can be combined and that may help develop therapies, vaccines, and diagnostic tools for such diseases as AIDS, malaria, and cancer. In a broader perspective, specialised bioinformatics methods in immunology make possible for the first time a systems-level understanding of the immune system. The traditional approaches to immunology are reductionist, avoiding complexity but providing detailed knowledge of a single event, cell, or molecular entity...." - Publisher's description].

Keywords: Immunoinformatics, Molecular Biology, Immunology, Mathematical Models, Neural Networks, Machine Learning, Bioinformatics, Computational, Computer Simulation