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Research Article

A Logical Model Provides Insights into T Cell Receptor Signaling

  • Julio Saez-Rodriguez,

    Affiliation: Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany

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  • Luca Simeoni,

    Affiliation: Institute of Immunology, Otto-von-Guericke University, Magdeburg, Germany

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  • Jonathan A Lindquist,

    Affiliation: Institute of Immunology, Otto-von-Guericke University, Magdeburg, Germany

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  • Rebecca Hemenway,

    Affiliation: Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany

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  • Ursula Bommhardt,

    Affiliation: Institute of Immunology, Otto-von-Guericke University, Magdeburg, Germany

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  • Boerge Arndt,

    Affiliation: Institute of Immunology, Otto-von-Guericke University, Magdeburg, Germany

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  • Utz-Uwe Haus,

    Affiliation: Institute for Mathematical Optimization, Otto-von-Guericke University, Magdeburg, Germany

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  • Robert Weismantel,

    Affiliation: Institute for Mathematical Optimization, Otto-von-Guericke University, Magdeburg, Germany

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  • Ernst D Gilles,

    Affiliation: Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany

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  • Steffen Klamt mail,

    To whom correspondence should be addressed. E-mail: inquiries regarding the mathematical methodology should be addressed to Steffen Klamt, klamt@mpi-magdeburg.mpg.de, and regarding the biological and experimental data to Burkhart Schraven, Burkhart.Schraven@med.ovgu.de

    Affiliation: Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany

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  • Burkhart Schraven mail

    To whom correspondence should be addressed. E-mail: inquiries regarding the mathematical methodology should be addressed to Steffen Klamt, klamt@mpi-magdeburg.mpg.de, and regarding the biological and experimental data to Burkhart Schraven, Burkhart.Schraven@med.ovgu.de

    Affiliation: Institute of Immunology, Otto-von-Guericke University, Magdeburg, Germany

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  • Published: August 24, 2007
  • DOI: 10.1371/journal.pcbi.0030163

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