The Institute for Drug Discovery at Leipzig University integrates innovative and computational approaches to therapy design and drug discovery with experimental validation and optimisation.
In particular, we develop and use new algorithms for the extraction and development of active pharmaceutical ingredients and biologic agents such as antibodies and vaccines. To do this, we use the Rosetta software suite (www.rosettacommons.org) as well as the algorithms for machine learning in the BioChemicalLibrary (BCL, www.meilerlab.org). We are working with scientists in Leipzig and around the world in order to apply these new algorithms to urgent human health challenges, including cancer, infectious diseases (e.g. influenza and HIV), diseases that affect the brain (e.g. schizophrenia and addiction), cardiac arrhythmias, and obesity. Another focus of our research addresses the urgent need for new antibiotic leads through computational genome mining approaches. In order to effectively support the drug development cycle, the Institute for Drug Development is able to produce, characterise, and test these active substances as well as biologic agents in-house. In order make our approach of rational, computational therapy design possible in the first place, we collaborate with others in order to determine the structure of crucial human protein targets and pathogens using limited experimental data in silico.
We are also involved in teaching for the model course in pharmacy recently integrated into the Faculty of Medicine at the state examination level and in other study programmes. We are particularly interested in developing new teaching formats that combine concepts from basic research and modern drug development with a focus on clinical application.
The Institute for Drug Development consists of the departments of Pharmaceutical Chemistry (headed by Jens Meiler, www.meilerlab.org) and Pharmaceutical Biology (headed by Leonard Kaysser) as well as further research groups for "Vaccines and Antibodies" (Torben Schiffner), "Computational Structural Biology" (Georg Künze), and the "ChemCore" for organic synthesis (Maik Tretbar).