Literature DB >> 11535199

Design and implementation of an immune system simulator.

M Bernaschi1, F Castiglione.   

Abstract

Cellular automata based models have proven capable of providing several new insights into the dynamics of the immune system (IS) response.A qualitative picture of the IS behavior can be obtained with small-scale simulations. However, for a more detailed analysis and to further validate the models, large-scale simulations are required. To this purpose we present here a simulator (PARIMM) of the IS response which has been carefully designed and coded to allow such simulations (millions of cells with a very high degree of complexity). The code does not just resort to parallel processing to run faster. Data structures and I/O have been optimized as well to limit the (huge) memory and disk space requirements. The recent addition of the description of the T killer cellular mediated response allows the code to simulate both humoral and cellular immune reactions. All these features put PARIMM among the most complete simulators of the immune system developed up today.

Mesh:

Year:  2001        PMID: 11535199     DOI: 10.1016/s0010-4825(01)00011-7

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  23 in total

Review 1.  The Applications of Genetic Algorithms in Medicine.

Authors:  Ali Ghaheri; Saeed Shoar; Mohammad Naderan; Sayed Shahabuddin Hoseini
Journal:  Oman Med J       Date:  2015-11

2.  A discrete computer model of the immune system reveals competitive interactions between the humoral and cellular branch and between cross-reacting memory and naïve responses.

Authors:  Yiming Cheng; Dario Ghersi; Claudia Calcagno; Liisa K Selin; Roberto Puzone; Franco Celada
Journal:  Vaccine       Date:  2008-12-25       Impact factor: 3.641

3.  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

4.  Computational immunology meets bioinformatics: the use of prediction tools for molecular binding in the simulation of the immune system.

Authors:  Nicolas Rapin; Ole Lund; Massimo Bernaschi; Filippo Castiglione
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

5.  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

6.  A virtual look at Epstein-Barr virus infection: simulation mechanism.

Authors:  M Shapiro; K A Duca; K Lee; E Delgado-Eckert; J Hawkins; A S Jarrah; R Laubenbacher; N F Polys; V Hadinoto; D A Thorley-Lawson
Journal:  J Theor Biol       Date:  2008-02-16       Impact factor: 2.691

Review 7.  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

8.  How the interval between prime and boost injection affects the immune response in a computational model of the immune system.

Authors:  F Castiglione; F Mantile; P De Berardinis; A Prisco
Journal:  Comput Math Methods Med       Date:  2012-09-11       Impact factor: 2.238

9.  Modeling lymphocyte homing and encounters in lymph nodes.

Authors:  Valentina Baldazzi; Paola Paci; Massimo Bernaschi; Filippo Castiglione
Journal:  BMC Bioinformatics       Date:  2009-11-25       Impact factor: 3.169

10.  Immune control of HIV-1 infection after therapy interruption: immediate versus deferred antiretroviral therapy.

Authors:  Paola Paci; Rossella Carello; Massimo Bernaschi; Gianpiero D'Offizi; Filippo Castiglione
Journal:  BMC Infect Dis       Date:  2009-10-19       Impact factor: 3.090

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