Riccardo Beccaria

My research focuses on developing new computational methods to study how proteins interact and move within complex biological environments. I combine artificial intelligence with physics-based models to create more accurate simulation techniques that can capture the chemical details governing these interactions, particularly in crowded conditions that resemble those found inside living cells.

I implement these methods in SDA (Simulation of Diffusional Association), a Brownian dynamics software package developed and maintained by the MCM group. Using these tools, I investigate how cellular crowding affects protein–ligand binding, molecular diffusion, and the formation of larger protein assemblies, helping us better understand the behavior of biomolecules in realistic cellular environments.