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

March 18-19, 2021

3rd World Conference on Vaccine and Immunology

Dubai, UAE
March 24-24, 2021

3rd International Conference on Dermatology and Allergic Diseases

Singapore City, Singapore
April 15-16, 2021

Tumor & Cancer Immunology and Pediatric-Oncology

Toronto, Canada
April 19-20, 2021

9th World Summit on immunology & immunotherapy

Prague, Czech Republic
May 03-04, 2021

International Online Conference on Immunology

New York, USA
June 23-24, 2021

34th World Congress on Vaccines and Immunization

Osaka, Australia
October 12-13, 2021

International Conference on Vaccine and Vaccine research

Manila, Philippines
October 14-15, 2021

13th Annual Conference on Cinical Immunology

Cape Town, Australia
October 14-15, 2021

11th International Conference on Bacteriology and Infectious Diseases

Cape Town, South Africa

Computational Immunology Conference Speakers

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