Wijnand J. C. van der Velden

The paper identifies allosteric pathways that determine G protein coupling selectivity in promiscuous GPCRs using a combination of mutagenesis, simulations, and machine learning.

The paper develops an interpretable machine learning model to identify allosteric modulators of the AT1R receptor and discovers a negative allosteric modulator.

This study investigates how different detergents affect the stability and ligand binding of neurotensin receptor 1, revealing a trade-off between structural stabilization and conformational flexibility.

This study uses NMR and MD simulations to analyze conformational entropy changes in GPCRs, showing how dynamic fluctuations influence allosteric signaling and receptor function.

This study uses Bayesian network modeling to identify cooperative GPCR:G protein interactions and their allosteric effects, revealing subnetworks that contribute to G protein coupling selectivity.

The paper uses engineered odorant receptors to uncover structural principles of odor discrimination by solving cryoEM structures of consensus ORs and comparing their ligand recognition properties.