TY - CHAP
T1 - Multiscale Modeling
T2 - Concepts, Technologies, and Use Cases in Immunology
AU - Abedi, Vida
AU - Hontecillas, Raquel
AU - Carbo, Adria
AU - Philipson, Casandra
AU - Hoops, Stefan
AU - Bassaganya-Riera, Josep
N1 - Funding Information:
This work was supported in part by National Institute of Allergy and Infectious Diseases Contract No. HHSN272201000056C to J. Bassaganya-Riera and funds from the Nutritional Immunology and Molecular Medicine Laboratory ( www.nimml.org ).
Publisher Copyright:
© 2016 Elsevier Inc. All rights reserved.
PY - 2016
Y1 - 2016
N2 - In today's Big Data era, computing tools and techniques help revolutionize immunological research in a meaningful way that is also shifting paradigm from top-down or bottom-up approaches to a middle-out approach. The latter is based on conceptualizing models and tools at the level that provides the richest data and connecting that to higher or lower levels for comprehensive integrated systems. In essence, building large multiscale models are an emerging trend mainly because these comprehensive models can be useful in providing great opportunities for model-driven knowledge discoveries and hypothesis generation that are clinically and pharmacologically relevant. In this chapter, we will highlight the technological advances that drive cutting-edge immune-informatics practices in a systems immunology research cycle. We present our next-generation multiscale modeling (MSM) technology, ENteric Immune Simulator (ENISI) MSM, a tool that integrates ordinary differential equation, partial differential equation, and agent-based modeling technologies and four spatiotemporal scales. ENISI MSM is a tool designed for modeling the mucosal immune responses that can simulate 108-109 cells in high-performance simulations.
AB - In today's Big Data era, computing tools and techniques help revolutionize immunological research in a meaningful way that is also shifting paradigm from top-down or bottom-up approaches to a middle-out approach. The latter is based on conceptualizing models and tools at the level that provides the richest data and connecting that to higher or lower levels for comprehensive integrated systems. In essence, building large multiscale models are an emerging trend mainly because these comprehensive models can be useful in providing great opportunities for model-driven knowledge discoveries and hypothesis generation that are clinically and pharmacologically relevant. In this chapter, we will highlight the technological advances that drive cutting-edge immune-informatics practices in a systems immunology research cycle. We present our next-generation multiscale modeling (MSM) technology, ENteric Immune Simulator (ENISI) MSM, a tool that integrates ordinary differential equation, partial differential equation, and agent-based modeling technologies and four spatiotemporal scales. ENISI MSM is a tool designed for modeling the mucosal immune responses that can simulate 108-109 cells in high-performance simulations.
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U2 - 10.1016/B978-0-12-803697-6.00008-4
DO - 10.1016/B978-0-12-803697-6.00008-4
M3 - Chapter
AN - SCOPUS:84980482455
SN - 9780128036976
SP - 145
EP - 173
BT - Computational Immunology
PB - Elsevier Inc.
ER -