Damien Thévenin

The paper models PTPRJ's role in regulating cell phenotypes through RTK signaling pathways in cancer cells, identifying context-dependent mechanisms.

The paper shows that shear stress creates concentration gradients of membrane proteins in live cells, suggesting a mechanism for flow sensing.

This paper designs a PPI inhibitor peptide that activates PTP1B by disrupting its interaction with the 14-3-3ζ complex, leading to reduced EGFR phosphorylation and cancer cell viability.

The paper shows that lipid-anchored proteins on COS-7 cells form reversible concentration gradients under shear stress, suggesting passive flow transport as a mechanism for membrane protein organization.

This study evaluates a PTPRJ-targeting peptide agonist's effects on lung cancer cells, revealing broad signaling changes, DNA damage, and growth inhibition.

This paper introduces TMDiffusion, a deep learning model for designing membrane proteins, achieving high experimental success and accurate structural predictions.