Clemens Giegerich

Development of in silico filters to predict activation of the pregnane X receptor (PXR) by structurally diverse drug-like molecules.

H. Matter, G. Hessler, K. Baringhaus, 2012, Bioorganic & medicinal chemistry.

In Silico Head-to-Head Comparison of Insulin Glargine 300 U/mL and Insulin Degludec 100 U/mL in Type 1 Diabetes

C. Cobelli, T. Klabunde, C. Dalla Man, 2020, Diabetes technology & therapeutics.

How high and long will the COVID-19 wave be? A data-driven approach to model and predict the COVID-19 epidemic and the required capacity for the German health system

T. Klabunde, Clemens Giegerich, 2020, medRxiv.

Improving Efficacy of Inhaled Technosphere Insulin (Afrezza) by Postmeal Dosing: In-silico Clinical Trial with the University of Virginia/Padova Type 1 Diabetes Simulator

Claudio Cobelli, Roberto Visentin, Chiara Dalla Man, 2016, Diabetes technology & therapeutics.

Sequence-derived three-dimensional pharmacophore models for G-protein-coupled receptors and their application in virtual screening.

Andreas Evers, Clemens Giegerich, T. Klabunde, 2009, Journal of medicinal chemistry.

Identification of a Rule to Predict Response to Sarilumab in Patients with Rheumatoid Arthritis Using Machine Learning and Clinical Trial Data

A. Praestgaard, J. Gottenberg, A. Schwarting, 2021, Rheumatology and Therapy.

Incorporating Long-Acting Insulin Glargine Into the UVA/Padova Type 1 Diabetes Simulator for In Silico Testing of MDI Therapies

Claudio Cobelli, Roberto Visentin, Thomas Klabunde, 2019, IEEE Transactions on Biomedical Engineering.

Sequence-derived three-dimensional pharmacophore models for G-protein-coupled receptors and their application in virtual screening.

T. Klabunde, A. Evers, Clemens Giegerich, 2009, Journal of medicinal chemistry.

Identification and Application of Antitarget Activity Hotspots to Guide Compound Optimization

H. Matter, G. Hessler, Friedemann Schmidt, 2011, Molecular informatics.