Jörg K. Wegner
Johnson & Johnson (United States)(US)Johnson & Johnson (Israel)(IL)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Metabolomics and Mass Spectrometry Studies, Bioinformatics and Genomic Networks
Most-Cited Works
- → Large-scale comparison of machine learning methods for drug target prediction on ChEMBL(2018)589 cited
- → The Blue Obelisk—Interoperability in Chemical Informatics(2006)395 cited
- → Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery(2018)248 cited
- → ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics(2017)246 cited
- → A genetics-led approach defines the drug target landscape of 30 immune-related traits(2019)225 cited
- → Proteochemometric modeling as a tool to design selective compounds and for extrapolating to novel targets(2010)176 cited
- → A geometric deep learning approach to predict binding conformations of bioactive molecules