Authors:
Isaac Barjis
1
;
Aliyah Amin
2
;
Amber Barjis
2
and
Saif Amin
3
Affiliations:
1
Department of Biological Sciences, New York City College of Technology, 300 Jay St, Brooklyn, U.S.A.
;
2
Syosset High School, 70 S Woods Rd, Syosset, U.S.A.
;
3
Department of Biology, Stony Brook University, 100 Nicolls Rd, Stony Brook, U.S.A.
Keyword(s):
System Biology, T Helper Cell Activation, Modeling of Naive T Helper Cell, Petri Net and System Biology, CPT Modeling of Naive T Helper Cell Activation.
Abstract:
The immune system in general and T cells, in particular, play a critical role in protecting the organism from infection and repairing damaged tissue. T cells are not only key components of the immune system but are also central in mobilizing the adaptive immune responses at all stages of fighting infection. Furthermore, studies have shown that subsets of T helper cells are critical for the activation of antitumor responses. T cells have been intensively studied by both experimental immunologists and modelers. However, none of the research papers represent the complete process that will show the link between antigen-presenting cells, subtypes of T cells, and other signaling pathways. In this paper, we illustrate the first steps of an automation process for quantitative modeling, of the naïve T lymphocytes activation pathway by discrete modeling language using colored Petri nets (CPN). Modeling, simulation, and analyzing T cell activation signaling pathways will improve our understandi
ng of the structure and dynamics of these pathways considerably. Petri nets have been proposed as an effective formalism for Systems Biology and modeling of metabolic pathways.
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