TeachOpenCADD: a teaching platform for computer-aided drug design using open source packages and data. - Dominique Sydow; Andrea Morger; Maximilian Driller; Andrea Volkamer (J. Cheminformatics, 2019)

Advances and Challenges in Computational Target Prediction. - Dominique Sydow; Lindsey Burggraaff; Angelika Szengel; Herman W. T. van Vlijmen; Adriaan P. IJzerman; Gerard J. P. van Westen; Andrea Volkamer (J. Chem. Inf. Model., 2019)

TeachOpenCADD-KNIME: A Teaching Platform for Computer-Aided Drug Design Using KNIME Workflows. - Dominique Sydow; Michele Wichmann; Jaime Rodríguez-Guerra; Daria Goldmann; Gregory A. Landrum; Andrea Volkamer (J. Chem. Inf. Model., 2019)

KinFragLib: Exploring the Kinase Inhibitor Space Using Subpocket-Focused Fragmentation and Recombination. - Dominique Sydow; Paula Schmiel; Jérémie Mortier; Andrea Volkamer (J. Chem. Inf. Model., 2020)

KiSSim: Predicting Off-Targets from Structural Similarities in the Kinome. - Dominique Sydow; Eva Aßmann; Albert J. Kooistra; Friedrich Rippmann; Andrea Volkamer (J. Chem. Inf. Model., 2022)

OpenCADD-KLIFS: A Python package to fetch kinase data from the KLIFS database. - Dominique Sydow; Jaime Rodríguez-Guerra; Andrea Volkamer (J. Open Source Softw., 2022)

TeachOpenCADD 2022: open source and FAIR Python pipelines to assist in structural bioinformatics and cheminformatics research. - Dominique Sydow; Jaime Rodríguez-Guerra; Talia B. Kimber; David Schaller 002; Corey J. Taylor; Yonghui Chen; Mareike Leja; Sakshi Misra; Michele Wichmann; Armin Ariamajd; Andrea Volkamer (Nucleic Acids Res., 2022)

Leap: molecular synthesisability scoring with intermediates. - Antonia Calvi; Théophile Gaudin; Dominik Miketa; Dominique Sydow; Liam Wilbraham (CoRR, 2024)

Active Learning on Synthons for Molecular Design. - Tom George Grigg; Mason Burlage; Oliver Brook Scott; Adam Taouil; Dominique Sydow; Liam Wilbraham (CoRR, 2025)