Domenico Scaramozzino

This paper introduces a coarse-grained simulation framework combining Elastic Network Models and Brownian Dynamics to efficiently generate protein conformational ensembles, showing high accuracy in reproducing residue fluctuations and dominant motions.

This paper introduces a coarse-grained modeling framework to analyze how mutations affect protein conformational dynamics and identifies mutation-sensitive regions.

The paper introduces edENM, an elastic network model refined for DNA, RNA, and protein-nucleic acid complexes, showing better agreement with experimental data than previous models.

This study evaluates the mechanical properties of human Fascia Lata after decellularization with three detergents, finding no significant deterioration and highlighting strain inhomogeneity using Digital Image Correlation.