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Journal of Chemical Information and Modeling|December 10, 2024
Docking-Informed Machine Learning for Kinome-wide Affinity PredictionJordy Schifferstein, Andrius Bernatavicius, Antonius P A Janssen
Journal of Chemical Information and Modeling|October 30, 2024
AlphaFold Meets De Novo Drug Design: Leveraging Structural Protein Information in Multitarget Molecular Generative ModelsAndrius Bernatavicius, Martin Šícho, Antonius P A Janssen, et al.
Chimia|March 28, 2026
Multiplexed Gel-based ABPP Strategy for Target-agnostic Serine Hydrolase Inhibitor ScreeningFranciscus H G Ter Brake, Patrick Rehorst, Machiel W Henst, et al.
Drug Discovery Today|March 18, 2022
Oncological drug discovery: AI meets structure-based computational researchMarina Gorostiola González, Antonius P A Janssen, Adriaan P IJzerman, et al.
Methods in Molecular Biology (Clifton, N.J.)|June 14, 2025
CellEKT: A Chemical Proteomics Workflow to Profile Cellular Target Engagement of Kinase Inhibitors - A Step-by-Step GuideBerend Gagestein, Joel Rüegger, Antonius P A Janssen, et al.
Journal of Medicinal Chemistry|August 23, 2019
Structure Kinetics Relationships and Molecular Dynamics Show Crucial Role for Heterocycle Leaving Group in Irreversible Diacylglycerol Lipase InhibitorsAntonius P A Janssen, Jacob M A van Hengst, Olivier J M Béquignon, et al.
ACS Chemical Biology|September 11, 2018
Development of a Multiplexed Activity-Based Protein Profiling Assay to Evaluate Activity of Endocannabinoid Hydrolase InhibitorsAntonius P A Janssen, Daan van der Vliet, Alexander T Bakker, et al.
Chembiochem : a European Journal of Chemical Biology|March 4, 2017
Conformational Behaviour of Azasugars Based on Mannuronic AcidErwin R van Rijssel, Antonius P A Janssen, Alexandra Males, et al.
Chembiochem : a European Journal of Chemical Biology|February 19, 2024
Discovery of a Photoaffinity Probe that Captures the Active Conformation of the Cannabinoid CB<sub>2</sub> ReceptorLaura V De Paus, Yu An, Antonius P A Janssen, et al.
Journal of Chemical Information and Modeling|October 30, 2018
Drug Discovery Maps, a Machine Learning Model That Visualizes and Predicts Kinome-Inhibitor Interaction LandscapesAntonius P A Janssen, Sebastian H Grimm, Ruud H M Wijdeven, et al.
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