The state-based model (SBM) allow to simulate the interplay between innate immune cells, such as monocytes and PMN, and Candida albicans and to quantify immune reaction rates like phagocytosis and killing rates. It is implemented in C++.
SEEK ID: https://funginet.hki-jena.de/models/28?version=1
0 items (and an image) are associated with this Model:Organism: Candida albicans
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Created: 18th Feb 2021 at 09:23
Last updated: 18th Feb 2021 at 09:23
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Version 1 (earliest) Created 18th Feb 2021 at 09:23 by Sandra Timme
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Projects: B4
Institutions: Leibniz-Institute for Natural Product Research and Infection Biology Hans Knöll Institute (HKI)
The yeast Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of life-threatening invasive mycoses in Europe. Despite the increasing incidence of these infections, the current diagnosis is still difficult and often too late, and options for therapies are limited. Moreover, A. fumigatus and C. albicans have developed multiple sophisticated, specific and unique pathogenicity mechanisms. Many of these mechanisms are not well understood. Research on ...
Projects: FungiNet total, FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, INF, A1, A2, A3, A4 (E), A5, B1, B2, B3 (E), B4, C1, C2, C3, C4 (E), C5, C6 (E), Z2, Z1, B5, A6, A7, A8, C7
Web page: http://www.funginet.de/home.html
Image data analysis and agent-based modelling of the spatio-temporal interaction between immune cells and human-pathogenic fungi
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Authors: M. T. E. Prausse, T. Lehnert, S. Timme, K. Hunniger, I. Leonhardt, O. Kurzai, M. T. Figge
Date Published: 6th Apr 2018
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PubMed ID: 29619027
Citation: Front Immunol. 2018 Mar 21;9:560. doi: 10.3389/fimmu.2018.00560. eCollection 2018.
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Authors: T. Lehnert, , J. Pollmacher, , ,
Date Published: 19th Jun 2015
Publication Type: Not specified
PubMed ID: 26150807
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Authors: , T. Lehnert, K. Bieber, R. Martin, ,
Date Published: 20th Feb 2014
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PubMed ID: 24586131
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