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

Zurich Hilton Airport Hotel, September 13-14, 2018

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3rd International Conference on Tumor & Cancer Immunology and Immunotherapy

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10th World Congress and Expo on Immunology

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3rd International Conference on Autoimmunity

Dublin, Ireland
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Global Meet on Immunology, Hematology and Molecular Biology

Portugal, Lisbon
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Annual Congress on Antibiotics and Antimicrobial Resistance

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10th Molecular Immunology & Immunogenetics Congress

Barcelona, Spain
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11th Global Summit on Immunology and Cell Biology

Sydney, Australia
June 13-14, 2019 |

10th European Immunology Conference

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6th International Conference on Parasitology & Microbiology

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Computational Immunology Conference Speakers

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