Königlab - Humboldt-Universität zu Berlin

At the König Lab, we merge the fields of Systems Medicine and Systems Biology to delve deep into drug metabolism and liver function. By harnessing the power of computational modeling, data science, bioinformatics analysis, and machine learning, we analyze and interpret datasets spanning biological, medical, and clinical spheres.

Our Core Research Avenues

• Predictive Biomedical Modeling: With a primary emphasis on the liver and kidneys, we strive to foresee how these systems react and interact.

• Digital Twins Development: We pioneer in creating digital replicas using physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) models.

• Reproducibility and Open Research: We champion transparent methodologies and workflows, ensuring our work can be revisited and built upon.

• FAIR Data & Workflows: Ensuring that our data and workflows are Findable, Accessible, Interoperable, and Reusable is pivotal to our mission.

Flagship Projects

• Personalized assessments of liver and kidney functions.

• Multi-scale modeling endeavors for the liver.

• Advanced pharmacometric strategies.

• Crafting databases and workflows that serve as cornerstones for reproducible, open, and FAIR research.

A hallmark of our research is the generation of predictive digital twins mirroring individual human physiology. These models are instrumental in shedding light on inter-individual variances, paving the way for personalized treatments—from tailoring drug dosages to understanding the nuanced impacts of lifestyle on drug metabolism.