Computational Immunology

Computational immunology includes the development and application of bioinformatics methods, mathematical models and statistical techniques for the study of immune system biology. It aims to study the complex protein–protein interactions and networks and allows a better understanding of immune responses and their role during normal, diseased and reconstitution states. Computational immunology covers a broad range of applications. Mathematical models have long been used for modeling immune responses, as well as molecular and cellular interactions, development of infection, tumor growth, and host-pathogen interactions. The applied arm of computational immunology, immunoinformatics, is dedicated to development and application of computational methods and tools for the analyses of immunological data and knowledge extraction using statistical inference and machine learning algorithms. 

  • Bioinformatics
  • Antigenic Peptide Prediction
  • Immune Genomics
  • Host Pathogen Dynamics
  • Translational Research
  • Vaccine Response

Related Conference of Computational Immunology

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12th Annual Conference on Clinical Immunology

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36th International Conference on Immunology

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4th Annual Summit on Rare Diseases and Orphan Drugs

Paris, France
November 18-19, 2020

International Conference on Immunology & Immunotherapies

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8th World Summit on Allergy and Clinical Immunology

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Computational Immunology Conference Speakers

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