Christian Schönbach (ed.)

Immunoinformatics

Ed. by C. Schönbach, S. Ranganathan, V. Brusic et al.

Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Immunomics Reviews Nr.1
• Verlag: Springer, Berlin
• Artikelnr. des Verlages: 11845478
• Erscheinungstermin: Dezember 2007
• Englisch
• Abmessung: 235mm x 155mm x 12mm
• Gewicht: 460g
• ISBN-13: 9780387729671
• ISBN-10: 0387729674
• Artikelnr.: 22953683

Autorenporträt

Christian Schönbach is currently an Associate Professor (Genetics and Genomics) at Nanyang Technological University (Singapore). Until recently he was Team Leader of the Immunoinformatics Team at the RIKEN Genomic Sciences Center (Japan). His research on decoding mouse genome information employs both computational and experimental methods. He obtained is higher education at University of Würzburg, SUNY Albany, University of Tübingen, Max-Planck Institute for Biology, and UCSD. He holds a doctor degree in Genetics obtained through immunogenetics research under Jan Klein at the Max-Planck Institute for Biology. He completed his post-doctoral training in experimental and computational immunology with Masafumi Takiguchi and Kohji Egawa at The University of Tokyo, Institute of Medical Science.

His working experience includes research scientist in gene discovery and bioinformatics at Chugai Research Institute for Molecular Medicine, Inc. (Japan), visiting scientist in immunology at the University of Tokyo, principal investigator in computational immunology at Kent Ridge Digital Labs, and Team Leader at RIKEN GSC where he interfaced for its bioinformatics group between computer science and experimental biology. Besides he contributed to the RIKEN GSC large-scale project 'Functional Annotation of Mouse' as a senior annotation manager and core group member.

C. Schönbach authored 55 publications and two patents. He is a founding member of the International Immunomics Society, section editor for Immunome Research and served as editorial board member of New Generation Computing. He contributed as program committee member to various international bioinformatics meetings and to international conferences as invited speaker, keynote speaker, and memorial lecturer. In 2004 he convened the 1st International Immunoinformatics Symposium at RIKEN GSC.

Inhaltsangabe

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 .- 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 Modelling .- 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.