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Immunoinformatics [recurso electrónico] / edited by Christian Schönbach, Shoba Ranganathan, Vladimir Brusic.

By: Contributor(s): Material type: TextPublisher: New York, NY : Springer New York, 2008Description: online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • recurso en línea
ISBN:
  • 9780387729688
  • 99780387729688
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 570.285 23
Online resources:
Contents:
IMGT-ONTOLOGY, IMGT® Databases, Tools, and Web Resources for Immunoinformatics -- IMGT Standardization for Molecular Characterization of the T-cell Receptor/Peptide/MHC Complexes -- Structural Immunoinformatics -- In Silico QSAR-Based Predictions of Class I and Class II MHC Epitopes -- Allergen Bioinformatics -- Immunoinformatics Applied to Modifying and Improving Biological Therapeutics -- Plasticity of Dendritic Cell Transcriptional Responses to Antigen: Functional States of Dendritic Cells -- Understanding the Immune System by Computer-Aided Modeling -- Simulation of HIV-1 Molecular Evolution in Response to Chemokine Coreceptors and Antibodies -- MUTANT MOUSE: bona fide Biosimulator for the Functional Annotation of Gene and Genome Networks.
In: Springer eBooksSummary: Immunomics Reviews An Official Publication of the International Immunomics Society Series Editors: Vladimir Brusic, Dana-Farber Cancer Institute, Boston, Massachusetts Andras Falus, Semmelweis University, Budapest, Hungary Editorial Board: Anne S. De Groot, Brown University, Providence, Rhode Island Darren Flower, Edward Jenner Institute for Vaccine Research, Berkshire, UK Christian Schonbach, Nanyang Technological University, Singapore Shoba Ranganathan, Macquarie University, Australia Marie-Paule Lefranc Universite Montpellier II, Montpellier, France This peer-reviewed book series offers insight on immunology for 21st century. The technological revolution has borne advances in high-throughput instrumentation and information technology, initiating a renaissance for biomathematics, and biostatistics. Cross-fertilization between genomics and immunology has led to a new field called immunomics, transforming the way in which theoretical, clinical and applied immunology are practiced. Immunomics Reviews will cover integrative approaches and applications to the theory and practice of immunology and explore synergistic effects resulting from a combination of technological advances and the latest analytical tools with the traditional fields of basic and clinical immunology. Volume 1: Immunoinformatics Edited by Christian Schönbach Immunoinformatics is an emerging subdiscipline of bioinformatics. It utilizes mathematics, information science, computer engineering, genomics, proteomics and immunological methods to bridge immunology and informatics. Similar to bioionformatics which became a driving force in genome research, immunoinformatics enables data-driven research strategies and systems approaches that aim at understanding the networks regulating the immune system. Considering the breath of topic, Immunoinformatics was composed to provide a cross-section of research ranging from data integration, epitope predictions to systems level applications. In ten chapters experts in the field introduce and discuss research strategies for immunologists and bioinformaticians who wish to endeavour existing and new approaches to gain insight into the workings of the immune system.
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IMGT-ONTOLOGY, IMGT® Databases, Tools, and Web Resources for Immunoinformatics -- IMGT Standardization for Molecular Characterization of the T-cell Receptor/Peptide/MHC Complexes -- Structural Immunoinformatics -- In Silico QSAR-Based Predictions of Class I and Class II MHC Epitopes -- Allergen Bioinformatics -- Immunoinformatics Applied to Modifying and Improving Biological Therapeutics -- Plasticity of Dendritic Cell Transcriptional Responses to Antigen: Functional States of Dendritic Cells -- Understanding the Immune System by Computer-Aided Modeling -- Simulation of HIV-1 Molecular Evolution in Response to Chemokine Coreceptors and Antibodies -- MUTANT MOUSE: bona fide Biosimulator for the Functional Annotation of Gene and Genome Networks.

Immunomics Reviews An Official Publication of the International Immunomics Society Series Editors: Vladimir Brusic, Dana-Farber Cancer Institute, Boston, Massachusetts Andras Falus, Semmelweis University, Budapest, Hungary Editorial Board: Anne S. De Groot, Brown University, Providence, Rhode Island Darren Flower, Edward Jenner Institute for Vaccine Research, Berkshire, UK Christian Schonbach, Nanyang Technological University, Singapore Shoba Ranganathan, Macquarie University, Australia Marie-Paule Lefranc Universite Montpellier II, Montpellier, France This peer-reviewed book series offers insight on immunology for 21st century. The technological revolution has borne advances in high-throughput instrumentation and information technology, initiating a renaissance for biomathematics, and biostatistics. Cross-fertilization between genomics and immunology has led to a new field called immunomics, transforming the way in which theoretical, clinical and applied immunology are practiced. Immunomics Reviews will cover integrative approaches and applications to the theory and practice of immunology and explore synergistic effects resulting from a combination of technological advances and the latest analytical tools with the traditional fields of basic and clinical immunology. Volume 1: Immunoinformatics Edited by Christian Schönbach Immunoinformatics is an emerging subdiscipline of bioinformatics. It utilizes mathematics, information science, computer engineering, genomics, proteomics and immunological methods to bridge immunology and informatics. Similar to bioionformatics which became a driving force in genome research, immunoinformatics enables data-driven research strategies and systems approaches that aim at understanding the networks regulating the immune system. Considering the breath of topic, Immunoinformatics was composed to provide a cross-section of research ranging from data integration, epitope predictions to systems level applications. In ten chapters experts in the field introduce and discuss research strategies for immunologists and bioinformaticians who wish to endeavour existing and new approaches to gain insight into the workings of the immune system.

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