Sivaraj Sivaramakrishnan

This study identifies molecular determinants in the 5 helix of the AT1R that govern subtype-specific coupling to Gq and Gi proteins.

The paper uses machine learning and simulations to show that distant residue interactions in the G protein core influence GPCR selectivity and can be engineered to change signaling preferences.

This paper develops an interpretable machine learning model to identify residue communities involved in GPCR conformational transitions, with applications to dopamine receptor subtype-specific drug design.

This study identifies a novel GIPR trafficking pathway involving myosin VI and β-arrestin, showing their synergistic role in receptor internalization, signaling, and insulin response in pancreatic beta cells.

The paper identifies frustrated residues in GPCR:G protein interfaces and engineered degrader complexes, showing higher frustration in engineered interfaces.

This paper examines how the E525K mutation in human β-cardiac myosin affects its super-relaxed state and contractility in dilated cardiomyopathy.