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Strain details
Name | Provider name | Provider's strain ID | Genotypes | Phenotypes | Synonym | Comments | Based on |
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Related items
Image data analysis and agent-based modelling of the spatio-temporal interaction between immune cells and human-pathogenic fungi
Integrated database for experimental data
Within the Collaborative Research Center / Transregio 124 “Pathogenic fungi and their human host: Networks of Interaction – FungiNet”, the INF project is responsible to analyse and share OMICS data. Databases help to foster the collaboration within FungiNet as an important point of the Collaborative Research Center. Therefore, we set-up two databases:
a) SEEK is a web-based platform to find, share and exchange unstructured data and knowledge, such as
...
Modelling interactions between the host and fungal pathogens by combining metabolic pathway analysis and evolutionary game theory
This model is a variant of the previously developed SBM of whole-blood infection assay. While in the previous model a spontaneous immune evasion mechanism (A) was implemented in this model immune evasion was caused by PMN molecule secretion (B).
Creators: Teresa Lehnert, Maria T. E. Prauße
Contributor: Sandra Timme
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Candida albicans
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
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++.
Creator: Teresa Lehnert
Contributor: Sandra Timme
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Candida albicans
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
DynaCoSys models the complement system by using a combination of Ordinary and Partial Differential Equations.
Creators: Teresa Lehnert, Alexander Tille
Contributor: Sandra Timme
Model type: Partial differential equations (PDE)
Model format: Not specified
Environment: Not specified
Organism: Candida albicans
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Abstract (Expand)
Authors: A. Tille, Teresa Lehnert, Peter Zipfel, Marc Thilo Figge
Date Published: 5th Oct 2020
Journal: Front Immunol
PubMed ID: 33013842
Citation: Front Immunol. 2020 Sep 2;11:1911. doi: 10.3389/fimmu.2020.01911. eCollection 2020.
Abstract (Expand)
Authors: Sandra Timme, Teresa Lehnert, M. T. E. Prausse, Kerstin Hünniger, I. Leonhardt, Oliver Kurzai, Marc Thilo Figge
Date Published: 20th Apr 2018
Journal: Front Immunol
PubMed ID: 29670632
Citation: Front Immunol. 2018 Apr 4;9:667. doi: 10.3389/fimmu.2018.00667. eCollection 2018.
Abstract (Expand)
Authors: M. T. E. Prausse, Teresa Lehnert, Sandra Timme, Kerstin Hünniger, I. Leonhardt, Oliver Kurzai, Marc Thilo Figge
Date Published: 6th Apr 2018
Journal: Front Immunol
PubMed ID: 29619027
Citation: Front Immunol. 2018 Mar 21;9:560. doi: 10.3389/fimmu.2018.00560. eCollection 2018.
Abstract (Expand)
Authors: H. Du, G. Guan, X. Li, M. Gulati, L. Tao, C. Cao, A. D. Johnson, C. J. Nobile, G. Huang
Date Published: 10th Sep 2015
Journal: MBio
PubMed ID: 26350972
Citation: MBio. 2015 Sep 8;6(5):e01376-15. doi: 10.1128/mBio.01376-15.
Abstract (Expand)
Authors: S. Lane, P. Di Lena, K. Tormanen, P. Baldi, H. Liu
Date Published: 6th Sep 2015
Journal: Eukaryot Cell
PubMed ID: 26342020
Citation: Eukaryot Cell. 2015 Nov;14(11):1114-26. doi: 10.1128/EC.00102-15. Epub 2015 Sep 4.