Naturally emerging or reemerging diseases pose some of the most serious threats to human health. Computational methods are urgently needed for developing new vaccines, therapies, and models to improve our understanding of the immune system, and reliable tools for focusing experimental investigations.
The main theme of this meeting is "Bridging Immunology and Computer Science". Nowadays computational methods are integral to virtually every research and development project in every discipline. Immunology is not an exception and the need for sophisticated computational methods for research and development in immunology is increasing. At the same time, because of the extreme domain complexity of immunology, the lag between availability of sophisticated computational methods and their implementation in this field is increasing. The ICIW 2012 will include presentations that describe theoretical advances and practical applications that will help bridge this gap and, as a consequence, accelerate the development of immunology. Topics of interest include, but are not limited to:
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Structural Immunoinformatics
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Epitope analysis and prediction
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MHC-peptide binding site analysis and prediction
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Immunoinformatics Databases, Knowledge Bases, Ontologies
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Computational modeling of immune system
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Analysis and prediction of minor histocompatibility antigens
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Predictive models for organ transplantation
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Immunogenomics
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Immunomics
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Vaccine design
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Artificial immune systems and other biologically-inspired paradigms
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Multi-agent based modeling of immune response
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Allergenicity prediction
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Gene expression changes in adaptive immune response
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Comparative approaches to immunology
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