NIMML Modeling and Simulation Program
Computational and mathematical approaches have become a powerful tool to develop unforeseen hypotheses, to narrow down experimental designs and to manage large amounts of data in a targeted and cost-effective way.
The Computational Modeling Section of the Nutritional Immunology and Molecular Medicine Laboratory:
- Develops computational tools, performs data analysis and runs in silico experiments by using new computational and mathematical models.
- Develops predictive, mechanistic, mathematical models of biological systems and applies these models to new hypotheses generation and experimental design optimization for clinical and pre-clinical studies.
- Provides highly scalable in silico experimental environment of realistic scenarios with high performance computing (HPC) technologies.
- Provides full integration between the experimental and computational components of our research programs. The unique integration and crosstalk between the modeling team and our immunology team adds efficiency and streamlines the discovery process.
- Applies the results from network analysis, mathematical modeling and molecular docking together with protein visualization to guide NIMML’s experimental studies, producing high-quality, novel scientific findings.