Stochastic stage-structured modeling of the adaptive immune system

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We have constructed a computer model of the cytotoxic T lymphocyte (CTL) response to antigen and the maintenance of immunological memory. Because immune responses often begin with small numbers of cells and there is great variation among individual immune systems, we have chosen to implement a stochastic model that captures the life cycle of T cells more faithfully than deterministic models. Past models of the immune response have been differential equation based, which do not capture stochastic effects, or agent-based, which are computationally expensive. We use a stochastic stage-structured approach that has many of the advantages of agent-based modeling but ... continued below

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10 p.

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Chao, D. L. (Dennis L.); Davenport, M. P. (Miles P.); Forrest, S. (Stephanie) & Perelson, Alan S., January 1, 2003.

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Description

We have constructed a computer model of the cytotoxic T lymphocyte (CTL) response to antigen and the maintenance of immunological memory. Because immune responses often begin with small numbers of cells and there is great variation among individual immune systems, we have chosen to implement a stochastic model that captures the life cycle of T cells more faithfully than deterministic models. Past models of the immune response have been differential equation based, which do not capture stochastic effects, or agent-based, which are computationally expensive. We use a stochastic stage-structured approach that has many of the advantages of agent-based modeling but is more efficient. Our model can provide insights into the effect infections have on the CTL repertoire and the response to subsequent infections.

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10 p.

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  • Submitted to: 2003 IEEE Computing Society Bioinformatics Conference (CSB 2003), Stanford University, Stanford, CA, August 11-14, 2003

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  • Report No.: LA-UR-03-2907
  • Grant Number: none
  • Office of Scientific & Technical Information Report Number: 976630
  • Archival Resource Key: ark:/67531/metadc930838

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  • January 1, 2003

Added to The UNT Digital Library

  • Nov. 13, 2016, 7:26 p.m.

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  • Dec. 12, 2016, 5:08 p.m.

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Chao, D. L. (Dennis L.); Davenport, M. P. (Miles P.); Forrest, S. (Stephanie) & Perelson, Alan S.,. Stochastic stage-structured modeling of the adaptive immune system, article, January 1, 2003; United States. (digital.library.unt.edu/ark:/67531/metadc930838/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.