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Modeling Innate Immune Response to Early Mycobacterium Infection
Joint Authors
Kleijn, Jetty
Meijer, Annemarie H.
Carvalho, Rafael V.
Verbeek, Fons J.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In the study of complex patterns in biology, mathematical and computational models are emerging as important tools.
In addition to experimental approaches, these modeling tools have recently been applied to address open questions regarding host-pathogen interaction dynamics, including the immune response to mycobacterial infection and tuberculous granuloma formation.
We present an approach in which a computational model represents the interaction of the Mycobacterium infection with the innate immune system in zebrafish at a high level of abstraction.
We use the Petri Net formalism to model the interaction between the key host elements involved in granuloma formation and infection dissemination.
We define a qualitative model for the understanding and description of causal relations in this dynamic process.
Complex processes involving cell-cell or cell-bacteria communication can be modeled at smaller scales and incorporated hierarchically into this main model; these are to be included in later elaborations.
With the infection mechanism being defined on a higher level, lower-level processes influencing the host-pathogen interaction can be identified, modeled, and tested both quantitatively and qualitatively.
This systems biology framework incorporates modeling to generate and test hypotheses, to perform virtual experiments, and to make experimentally verifiable predictions.
Thereby it supports the unraveling of the mechanisms of tuberculosis infection.
American Psychological Association (APA)
Carvalho, Rafael V.& Kleijn, Jetty& Meijer, Annemarie H.& Verbeek, Fons J.. 2012. Modeling Innate Immune Response to Early Mycobacterium Infection. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-498297
Modern Language Association (MLA)
Carvalho, Rafael V.…[et al.]. Modeling Innate Immune Response to Early Mycobacterium Infection. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-498297
American Medical Association (AMA)
Carvalho, Rafael V.& Kleijn, Jetty& Meijer, Annemarie H.& Verbeek, Fons J.. Modeling Innate Immune Response to Early Mycobacterium Infection. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-498297
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498297