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Head of Group
Dean of the Faculty of Life Sciences
Director of Corporate Program
His main research interests are ligand- and structure-based drug design with focus on transmembrane transport proteins, prediction of on- and off-kinetics, as well as semantic data integration.
Smajic, A, Grandits, M & Ecker, GF 2022, 'Using Jupyter Notebooks for re-training machine learning models', Journal of Cheminformatics, vol. 14, no. 1, 54. doi.org/10.1186/s13321-022-00635-2
Decker, S, Taschauer, A, Geppl, E, Pirhofer, V, Schauer, M, Poschl, S, Kopp, F, Richter, L, Ecker, GF, Sami, H & Ogris, M 2022, 'Structure-based peptide ligand design for improved epidermal growth factor receptor targeted gene delivery', European Journal of Pharmaceutics and Biopharmaceutics, vol. 176, pp. 211-221. doi.org/10.1016/j.ejpb.2022.05.004
Füzi, B, Malik-Sheriff, RS, Manners, EJ, Hermjakob, H & Ecker, GF 2022, 'KNIME workflow for retrieving causal drug and protein interactions, building networks, and performing topological enrichment analysis demonstrated by a DILI case study', Journal of Cheminformatics, vol. 14, no. 1, 37. doi.org/10.1186/s13321-022-00615-6