Trends in mathematical modeling of host–pathogen interactions

Pathogenic microorganisms entail enormous problems for humans, livestock, and crop plants. A better understanding of the different infection strategies of the pathogens enables us to derive optimal treatments to mitigate infectious diseases or develop vaccinations preventing the occurrence of infect...

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Bibliographic Details
Published in:Cellular and molecular life sciences : CMLS Vol. 77; no. 3; pp. 467 - 480
Main Authors: Ewald, Jan, Sieber, Patricia, Garde, Ravindra, Lang, Stefan N., Schuster, Stefan, Ibrahim, Bashar
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.02.2020
Springer Nature B.V
Subjects:
Animals
Biochemistry
Biomedical and Life Sciences
Biomedicine
Cell Biology
Computer applications
Computer Simulation
Crypsis
Game theory
Host-pathogen interactions
Host-Pathogen Interactions - physiology
Humans
Infectious diseases
Life Sciences
Livestock
Mathematical analysis
Mathematical models
Microorganisms
Mimicry
Modelling
Models, Theoretical
molecular mimicry
Optimization
Pathogens
Review
Systems Biology - methods
Trends
Vaccination
Crypsis
Host–pathogen interactions
Agent-based modeling
Equation-based modeling
Game theory
Dynamic optimization
ISSN:1420-682X, 1420-9071, 1420-9071
Online Access:Get full text
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Summary:Pathogenic microorganisms entail enormous problems for humans, livestock, and crop plants. A better understanding of the different infection strategies of the pathogens enables us to derive optimal treatments to mitigate infectious diseases or develop vaccinations preventing the occurrence of infections altogether. In this review, we highlight the current trends in mathematical modeling approaches and related methods used for understanding host–pathogen interactions. Since these interactions can be described on vastly different temporal and spatial scales as well as abstraction levels, a variety of computational and mathematical approaches are presented. Particular emphasis is placed on dynamic optimization, game theory, and spatial modeling, as they are attracting more and more interest in systems biology. Furthermore, these approaches are often combined to illuminate the complexities of the interactions between pathogens and their host. We also discuss the phenomena of molecular mimicry and crypsis as well as the interplay between defense and counter defense. As a conclusion, we provide an overview of method characteristics to assist non-experts in their decision for modeling approaches and interdisciplinary understanding.
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ISSN:1420-682X
1420-9071
1420-9071
DOI:10.1007/s00018-019-03382-0