Literature DB >> 17367344

Cellular automata-based modeling program: synthetic immune system.

James Mata1, Melvin Cohn.   

Abstract

This article describes the functionality of a cellular automata-based immune system simulator, which we call SIS (synthetic immune system). SIS is based on descriptive cellular states and rules that define transitions between these states to model an entire immune system. Through the use of this program, an immunologist can test the validity of a proposed model by observing how it responds to self and non-self antigen. The output is then compared with the behavior of a real protective immune system, and the model can then be ruled as being adequate or inadequate. SIS-I, the first version of SIS written, has been modified through the years and is now available on our Web site: (http://www.cig.salk.edu/sis-I/sis.html). Although SIS-I has some flexibility, it has many hardwired values as well as a predefined keyword language for writing immune system rules. SIS-II was developed from SIS-I and allows the user to change more variables and to define keywords used within the program. Herein, we give an overview on how to use SIS-I and SIS-II, along with a future direction, SIS-III.

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Year:  2007        PMID: 17367344     DOI: 10.1111/j.1600-065X.2007.00511.x

Source DB:  PubMed          Journal:  Immunol Rev        ISSN: 0105-2896            Impact factor:   12.988


  7 in total

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Authors:  Martin Meier-Schellersheim; Iain D C Fraser; Frederick Klauschen
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Jul-Aug

2.  Agent-based modeling of host-pathogen systems: The successes and challenges.

Authors:  Amy L Bauer; Catherine A A Beauchemin; Alan S Perelson
Journal:  Inf Sci (N Y)       Date:  2009-04-29       Impact factor: 6.795

3.  ENteric Immunity SImulator: a tool for in silico study of gastroenteric infections.

Authors:  Katherine V Wendelsdorf; Maksudul Alam; Josep Bassaganya-Riera; Keith Bisset; Stephen Eubank; Raquel Hontecillas; Stefan Hoops; Madhav Marathe
Journal:  IEEE Trans Nanobioscience       Date:  2012-09       Impact factor: 2.935

Review 4.  Review of the systems biology of the immune system using agent-based models.

Authors:  Snehal B Shinde; Manish P Kurhekar
Journal:  IET Syst Biol       Date:  2018-06       Impact factor: 1.615

Review 5.  Current and prospective computational approaches and challenges for developing COVID-19 vaccines.

Authors:  Woochang Hwang; Winnie Lei; Nicholas M Katritsis; Méabh MacMahon; Kathryn Chapman; Namshik Han
Journal:  Adv Drug Deliv Rev       Date:  2021-02-06       Impact factor: 17.873

6.  Introduction of a Framework for Dynamic Knowledge Representation of the Control Structure of Transplant Immunology: Employing the Power of Abstraction with a Solid Organ Transplant Agent-Based Model.

Authors:  Gary An
Journal:  Front Immunol       Date:  2015-11-06       Impact factor: 7.561

7.  Multiscale modeling of mucosal immune responses.

Authors:  Yongguo Mei; Vida Abedi; Adria Carbo; Xiaoying Zhang; Pinyi Lu; Casandra Philipson; Raquel Hontecillas; Stefan Hoops; Nathan Liles; Josep Bassaganya-Riera
Journal:  BMC Bioinformatics       Date:  2015-08-25       Impact factor: 3.169

  7 in total

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