In Silico Immunology
Immunology is an all important science, addressing, as it does the most pressing medical needs of our time: infectious disease and transplantation medicine. It has given us vaccines on the one hand and therapeutic antibodies on the other. After a century of empirical research, it is now poised to fi...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Boston, MA :
Springer US,
2007.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Overview of the book
- Overview of the book
- Introducing In Silico Immunology
- Innate and Adaptive Immunity
- Immunoinformatics and Computational Vaccinology: A Brief Introduction
- A Beginners Guide to Artificial Immune Systems
- The Nature of Natural and Artificial Immune Systems
- Computational Models of B cell and T cell Receptors
- Modelling Immunological Memory
- Capturing Degeneracy in the Immune System
- Alternative Inspiration For Artificial Immune Systems: Exploiting Cohen’s Cognitive Immune Model
- Empirical, AI, and QSAR Approaches to Peptide-MHC Binding Prediction
- MHC diversity in Individuals and Populations
- Identifying Major Histocompatibility Complex Supertypes
- Biomolecular Structure Prediction Using Immune Inspired Algorithms
- How Natural and Artificial Immune Systems Interact with the World
- Embodiment
- The Multi-scale Immune Response to Pathogens: M. tuberculosis as an Example
- Go Dutch: Exploit Interactions and Environments with Artificial Immune Systems
- Immune Inspired Learning in a Distributed Environment
- Mathematical Analysis of Artificial Immune System Dynamics and Performance
- Conceptualizing the Self-Nonself Discrimination by the Vertebrate Immune System.
