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Head of Group
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.

Contact Hours for Students

  • Wednesday 14:00 - 15:00
  • Room 2E405 (or online) 
  • only after appointment via E-Mail latest on Friday before

Showing entries 1 - 5 out of 308
Huang, J, Osthushenrich, T, MacNamara, A, Mälarstig, A, Brocchetti, S, Bradberry, S, Scarabottolo, L, Ferrada, E, Sosnin, S, Digles, D, Superti-Furga, G & Ecker, GF 2024, 'ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction', Rsc advances, vol. 14, no. 19, 00748, pp. 13083-13094.


From unique protein identifiers to a selected pool of structures: Knime used as a mean to retrieve, analyze, interactively select and download protein 3D shapes

Riccardo Martini , Giulia Banci , Gerhard Ecker
KNIME Spring Summit 2019
Conference, Poster presentation
20.3.2019 - 20.3.2019

Upsampling of Molecules to create datasets large enough for Deep learning in toxicity prediction

Jennifer Hemmerich , Ece Asilar , Gerhard Ecker
German Conference on Chemoinformatics
Conference, Talk or oral contribution
12.11.2018 - 12.11.2018


Ece Asilar , Jennifer Hemmerich , Gerhard Ecker
22nd EuroQSAR
Conference, Talk or oral contribution
20.9.2018 - 20.9.2018

Exploring the use of neural networks for prediction of toxicities

Jennifer Hemmerich , Ece Asilar , Gerhard Ecker
Advanced Course on Data Science & Machine Learning
Summer/Winter school, Talk or oral contribution
21.7.2018 - 21.7.2018

Predicting ligand residence time - it's all about how long you stay

Gerhard Ecker
European School of Medicinal Chemistry
Summer/Winter school, Talk or oral contribution
4.7.2018 - 4.7.2018