000			03255nam a2200181Ia 4500
999			_c294313 _d294313
020			_a9780387729671
082			_a571.96 IMM
100			_a Christian Schönbach [ editor ]
245			_aImmunoinformatics
260			_a New York _bSpringer _c2008
300			_a xix, 200 p. : ill (some color) ; 24 cm.
490			_a Immunomics reviews, v. 1.
505			_a IMGT-ONTOLOGY, IMGT databases, tools, and web resources for immunoinformatics / Marie-Paule Lefranc -- IMGT standardization for molecular characterization of the T cell receptor/peptide/MHC complexes / Quentin Kaas [and others] -- Structural immunoinformatics / Choba Ranganathan, Joo Chuan Tong, and Tin Wee Tan -- In silico QSAR-based predictions of class I and class II MHC epitopes / Channa K. Hattotuwagama [and others] -- Allergen bioinformatics / Bernett T.K. Lee and Vladimir Brusic -- Immunoinformatics applied to modifying and improving biological therapeutics / Anne S. De Groot [and others] -- Plasticity of dentritic cell transcriptional responses to antigen: functional states of dendritic cells / Paul Kellam and Antonia Kwan -- Understanding the immune system sytem by computer-aided modeling / Massimo Bernaschi and Filippo Castiglione -- Simulation of HIV-1 molecular evolution in response to chemokine coreceptors and antibodies / Jack da Silva -- MUTANT MOUSE: bona fide biosimulator for the functional annotation of gene and genome networks / Yoichi Gondo.
520			_a (Publisher-supplied data) Bibliographic record and links to related information available from the Library of Congress catalog Information from electronic data provided by the publisher. May be incomplete or contain other coding. This is the first volume in a series that will be dedicated to publishing advances in immunomics particularly those focusing on systemic and integrative approaches in basic and clinical immunology, immunoinformatics, and immunologically relevant instrumentation and high-throughput screening methods. Immunoinformatics utilizes mathematics, information science, computer engineering, genomics, proteomics and immunological methods to bridge immunology and informatics. Ten expert reviews introduce bioinformaticians and immunologists alike to successfully applied data-driven strategies in MHC, TCR, peptide-MHC and allergen research, epitope prediction, de-immunization of therapeutic proteins, host-pathogen interactions, modeling of immune responses to pathogens and large-scale chemical mutagenesis-driven genetic analyses systems. In contrast to existing books on immunoinformatics which emphasize epitope prediction this volume presents a cross-section of immunoinformatic research. The contributions show the interdisciplinarity of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies towards understanding the immune system. Immunoinformatics is an ideal volume for scientists, researchers, students and professionals in the fields of Immunology, bioinformatics, microbiology, genetics, systems biology, biotechnology, computational biology.
650			_a Immunoinformatics. Immunology. Immune System.
700			_a Shoba Ranganathan; Vladimir Brusic
942			_cBK