Mario van der Stelt

Drug Discovery Maps, a Machine Learning Model That Visualizes and Predicts Kinome–Inhibitor Interaction Landscapes

Gerard J P van Westen, Antonius P A Janssen, Sebastian H Grimm, 2018, J. Chem. Inf. Model..

Mapping in vivo target interaction profiles of covalent inhibitors using chemical proteomics with label-free quantification

Juan Zhou, Mario van der Stelt, H. Overkleeft, 2018, Nature Protocols.

A Set of Activity-Based Probes to Visualize Human (Immuno)proteasome Activities.

Mario van der Stelt, H. Overkleeft, G. A. van der Marel, 2016, Angewandte Chemie.

Cyclopentitol as a scaffold for a natural product-like compound library for drug discovery.

Mario van der Stelt, D. Filippov, H. Overkleeft, 2015, Bioorganic & medicinal chemistry.

Activity-based protein profiling reveals off-target proteins of the FAAH inhibitor BIA 10-2474

Zhanmin Lin, Thomas Hankemeier, Benjamin F. Cravatt, 2017, Science.