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DUE TO MANY REQUESTS, WE ARE EXTENDING THE SUBMISSION DEADLINE TO APRIL 1, 2011.
Naturally emerging or reemerging diseases pose some of the most serious threats to human health. Computational methods are urgently needed for developing new vaccines, cancer immunotherapy, models to improve our knowledge and understanding of the immune system, and reliable tools for guiding and directing immunology research.
Computational immunology is an emerging field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology. 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 method 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 2011 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:
- Structural Immunoinformatics
- Epitope analysis and prediction
- Analysis and prediction of MHC-peptide binding
- Databases and ontologies for Immunoinformatics
- Computational modeling of immune system
- Analysis and prediction of minor histocompatibility antigens
- Predictive models on organ transplantation
- Immunogenomics
- Vaccine design
- Artificial immune systems and other biologically-inspired paradigms
- Multi-agent based models of immunity
- Gene networks and systems biology in immunity
- Allergenicity prediction