Gábor Turu

The study shows that β-arrestin signaling bias is spatiotemporally determined by ligand dissociation rate and G protein activity at endosomes, not receptor conformation.

The paper identifies the arreSTick motif as a key determinant of GPCR-{beta}-arrestin binding stability and shows its presence in non-receptor proteins.

The paper develops a transgenic mouse model with a fluorescent caspase activity reporter to quantify nonapoptotic caspase activity in rodent brains and demonstrates its use in studying neurophysiological and stress-related effects.

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.

The paper demonstrates that machine learning can accurately predict odor perception from molecular features, enabling reverse-engineering of smell.