Book ChapterDOI
Mathematical Modelling of the Immune System
Santo Motta,Vladimir Brusic +1 more
- pp 193-218
TLDR
This chapter provides a brief introduction to the biology of theimmune system and describes several approaches used in mathematical modelling of the immune system.Abstract:
The immune system is the natural defense of an organism. It comprises a network of cells, molecules, and organs whose primary tasks are to defend the organism from pathogens and maintain its integrity. The cooperation between the components of the immune system network realizes effectively and efficiently the processes of pattern recognition, learning, and memory. Our knowledge of the immune system is still incomplete and mathematical modelling has been shown to help better understanding of its underlying principles and organization. In this chapter we provide a brief introduction to the biology of the immune system and describe several approaches used in mathematical modelling of the immune system.read more
Citations
More filters
Journal ArticleDOI
Mathematical Models for Immunology: Current State of the Art and Future Research Directions.
TL;DR: A review of some research areas in mathematical immunology that evolved over the last 10 years and a step-by-step approach in discussing a range of models derived to study the dynamics of both the innate and immune responses at the molecular, cellular and tissue scales.
Journal ArticleDOI
Immunoinformatics and its relevance to understanding human immune disease.
TL;DR: Immunoinformatics is central to the research fields of immunogenomics, immunoproteomics and computational vaccinology, which offers great promise for future translation of basic immunology research advances into clinical practice.
Journal ArticleDOI
Modelling vaccination schedules for a cancer immunoprevention vaccine
TL;DR: It is found that, applying the vaccination scheme used in in-vivo experiments, the number of vaccine injections can be reduced roughly by 30%.
Journal ArticleDOI
Bioinformatics for study of autoimmunity
TL;DR: This paper reviews advances in the field of immunoinformatics pertinent to autoimmunity research including databases, tools in genomics and proteomics, tools for study of B- and T-cell epitopes, integrative approaches, and web servers.
Journal ArticleDOI
Computational Simulations of the Immune System for Personalized Medicine: State of the Art and Challenges
Francesco Pappalardo,Ping Zhang,Mark D. Halling-Brown,Kaye E. Basford,Antonio Scalia,Adrian J. Shepherd,David S. Moss,Santo Motta,Vladimir Brusic +8 more
TL;DR: The ImmunoGrid simulator uses Grid technologies, enabling computational simulation of the immune system at the natural scale, perform a large number of simulated experiments, capture the diversity of theimmune system between individuals, and provide a basis for therapeutic approaches tailored to the individual genetic make-up.
References
More filters
Book
The clonal selection theory of acquired immunity
TL;DR: The clonal selection theory of acquired immunity is studied as a theory of selection for immunity in the context of infectious disease.
Journal ArticleDOI
The immune system, adaptation, and machine learning
TL;DR: A dynamical model for the immune system is described that is based on the network hypothesis of Jerne, and is simple enough to simulate on a computer, and has a strong similarity to an approach to learning and artificial intelligence introduced by Holland, called the classifier system.
BookDOI
Artificial Immune Systems and Their Applications
TL;DR: This book provides an overview of artificial immune systems, explaining its applications in areas such as immunological memory, anomaly detection algorithms, and modeling the effects of prior infection on vaccine efficacy.
Journal ArticleDOI
Theoretical studies of clonal selection: minimal antibody repertoire size and reliability of self-non-self discrimination.
TL;DR: In this article, the authors estimate the probability that an immune system with N Ab monospecific antibodies in its repertoire can recognize a random foreign antigen, and they conclude that multispecific recognition is a more reliable method of distinguishing between molecules than single site recognition.