Giulia’s research focuses on development and application of analysis method for MD simulations of proteins. The overall aim of the research is to determine the molecular basis of physiological and pathological processes and use the information for drug discovery. The main topics include:
-development of general purpose methods based on statistical mechanics and machine learning for analysis of protein simulations;
-molecular determinants of functional selectivity and biased agonism in GPCRs and their downstream signaling effectors (G protein, arrestin, GRKs); -functional mechanisms of Heat Shock chaperone proteins.
Degree in Physics at University of Milan (1998), PhD in Chemistry (Dr. rer. nat.) at FU Berlin (2005), post-doc at ITB-CNR (2004-2006), post-doc at ICRM (2006-2011), researcher at ICRM (2011-2019), visiting Assistant Prof. at Weill Cornell Medicine (2012-2020), researcher at SCITEC since 2019.
Computational chemistry, Biomolecular simulations, proteins, enzymes, drug discovery
Molecular Dynamics, Statistical Mechanics, Deep Learning, Molecular Modeling