ODE/SBM Parameter Estimator

The ODE/SBM parameter estimator is a framework for simulating, estimating, and screening ordinary differential equations (ODEs) or state-based models (SBMs) concerning particular parameter values. The framework is implemented in C++ and allows the user to choose between different solvers for estimation and time-integration depending on the chosen model.

Publications

Lehnert, Leonhardt et al. (2021) Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions. Scientific Reports 11, 12039.
Lehnert et al. (2021) Comparative assessment of immune evasion mechanisms in human whole-blood infection assays by a systems biology approach. PLoS One 16(4), e0249372.
Prauße et al. (2018) Predictive virtual infection modeling of fungal immune evasion in human whole blood. Frontiers in Immunology 9, 560.
Timme et al. (2018) Quantitative simulations predict treatment strategies against fungal infections in virtual neutropenic patients. Frontiers in Immunology 9, 667.
Lehnert, Timme et al. (2015) Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions. Frontiers in Microbiology 6(608).
Hünniger, Lehnert et al. (2014) A virtual infection model quantifies innate effector mechanisms and Candida albicans immune escape in human blood. PLoS Computational Biology 10(2), e1003479.