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

July 11-12, 2022

International Conference on Vaccine Research

London, UK
July 13-14, 2022

International Conference on Immunology

London, UK
August 24-24, 2022

3rd International Conference on Immunology & Immunotherapies

Singapore City, Singapore
August 24-24, 2022

17th International Conference on Allergy and Clinical Immunology

Singapore City, Singapore
September 16-16, 2022

4th World Conference on Vaccine and Immunology

Osaka, Japan
September 16-17, 2022

International Conference on Immunology Research

New York, USA
November 17-18, 2022

World Congress on Infectious and Contagious Disease

Berlin, Germany

Computational Immunology Conference Speakers

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