Paper Info
Title
On the computational modeling of the innate immune system.
Abstract
In recent years, there has been an increasing interest in the mathematical and computational modeling of the human immune system (HIS). Computational models of HIS dynamics may contribute to a better understanding of the relationship between complex phenomena and immune response; in addition, computational models will support the development of new drugs and therapies for different diseases. However, modeling the HIS is an extremely difficult task that demands a huge amount of work to be performed by multidisciplinary teams. In this study, our objective is to model the spatio-temporal dynamics of representative cells and molecules of the HIS during an immune response after the injection of lipopolysaccharide (LPS) into a section of tissue. LPS constitutes the cellular wall of Gram-negative bacteria, and it is a highly immunogenic molecule, which means that it has a remarkable capacity to elicit strong immune responses. We present a descriptive, mechanistic and deterministic model that is based on partial differential equations (PDE). Therefore, this model enables the understanding of how the different complex phenomena interact with structures and elements during an immune response. In addition, the model's parameters reflect physiological features of the system, which makes the model appropriate for general use.
Year
DOI
Venue
2013
10.1186/1471-2105-14-S6-S7
BMC Bioinformatics
Keywords
Field
DocType
algorithms,immune system,microarrays,bioinformatics,computer simulation
Artificial immune system,Biology,Acquired immune system,Innate immune system,Computational model,Deterministic system,Immune system,Bioinformatics
Journal
Volume
Issue
ISSN
14
S-6
1471-2105
Citations 
PageRank 
References 
11
0.67
1
Authors
4
Name
Order
Citations
PageRank
Alexandre Bittencourt Pigozzo1225.03
Gilson Costa Macedo2223.56
Rodrigo a dos Santos3110.67
Marcelo Lobosco49524.89