Computational Pharmacy

Our research is dedicated to the development and application of computational drug discovery methods to gain insight into the processes associated with protein-ligand and protein-protein binding, transport processes of ligands in proteins, and pharmacokinetic properties and adverse effects of ligands. 
Current method developments are specifically focused on the integration of physicochemical knowledge into deep neural network approaches, which not only enhances performance but also reduces the data requirement for training these models effectively.