
Dr. Teresa Lehnert
Angewandte Systembiologie
- Computersimulation von virtuellen Infektionsmodellen
- populationsbasierte, zustandsbasierte und agentenbasierte Modellierung
- Anwendung globaler Optimierungsalgorithmen zur Schätzung von unbekannten Modellparametern
Wissenschaftlicher Werdegang
seit 2016 | Wissenschaftliche Mitarbeiterin in der Gruppe Angewandte Systembiology am Hans-Knöll-Institut |
2017 | Dr. rer. nat. in Bioinformatik an der Friedrich-Schiller-Universität Jena |
2011 | Diplom in Bioinformatik an der Friedrich-Schiller-Universität Jena |
(2020) Ex vivo Immune profiling in patient blood enables quantification of innate immune effector functions. bioRxiv , Details Open Access PDF
(2020) Dynamic interplay of host and pathogens in an avian whole blood model. Front Immunol 11, 500. Details PubMed Open Access PDF
(2020) Quantification of factor H mediated self versus non-self discrimination by mathematical modeling. Front Immunol 11, 1911. Details PubMed Open Access
(2018) Predictive virtual infection modeling of fungal immune evasion in human whole blood. Front Immunol 9, 560. Details PubMed Open Access PDF Supplement
(2018) Quantitative simulations predict treatment strategies against fungal infections in virtual neutropenic patients. Front Immunol 9, 667. Details PubMed Open Access PDF Supplement
(2017) Dimensionality of motion and binding valency govern receptor-ligand kinetics as revealed by agent-based modeling. Front Immunol 8, 1692. Details PubMed Open Access PDF Supplement
(2015) Neutrophil activation by Candida glabrata but not Candida albicans promotes fungal uptake by monocytes. Cell Microbiol 17(9), 1259-1276. Details PubMed
(2015) A second stimulus required for enhanced antifungal activity of human neutrophils in blood is provided by anaphylatoxin C5a. The Journal of Immunology 194(3), 1199-1210. Details PubMed
(2015) Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions. Frontiers in Microbiology 6(608), *authors contributed equally. Details PubMed Open Access
(2014) A virtual infection model quantifies innate effector mechanisms and Candida albicans immune escape in human blood. PLOS Comput Biol 10(2), e1003479, */⁺authors contributed equally. Details PubMed Open Access
(2014) Epithelial invasion outcompetes hypha development during Candida albicans infection as revealed by an image-based systems biology approach. Cytometry A 85(2), 126-139. Details PubMed