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2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions

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Intelligent Computing Theories and Application (ICIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10362))

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Abstract

We present 2DIs, a web platform that allows the easy design of extracellular models of the immune system function, including the possibility to describe the most important immune system entities and interactions and to produce a validated SBML file of the model. 2DIs permits immunologists to directly describe and share their knowledge with other colleagues and, more importantly, with modelers that can therefore obtain an SBML-compliant modelling template of the immunological process that can be used to develop the computational model. This could introduce a novel way of communicating among immunologists and modelers, reducing the risk of errors and misinterpretations.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Catania, Catania, Italy

    Marzio Pennisi

  2. Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy

    Giulia Russo

  3. University of Catania, Catania, Italy

    Giuseppe Sgroi & Giuseppe Parasiliti

  4. Department of Drug Sciences, University of Catania, Catania, Italy

    Francesco Pappalardo

Authors
  1. Marzio Pennisi
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  2. Giulia Russo
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  3. Giuseppe Sgroi
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  4. Giuseppe Parasiliti
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  5. Francesco Pappalardo
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Corresponding author

Correspondence to Francesco Pappalardo .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

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Pennisi, M., Russo, G., Sgroi, G., Parasiliti, G., Pappalardo, F. (2017). 2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions. In: Huang, DS., Jo, KH., Figueroa-García, J. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science(), vol 10362. Springer, Cham. https://doi.org/10.1007/978-3-319-63312-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-63312-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63311-4

  • Online ISBN: 978-3-319-63312-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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