Ania Di Pede - Mattatelli

Estudiant predoctoral
Extensió
445713
Oficina
S-35

Project: Multi-disciplinary approach to the study and development of plastic-degrading systems We use Molecular Simulations (MD, enhanced sampling) and develop Machine Learning methods to study and engineer a group of natural enzymes able to digest plastic polymers. Using the atomistic information from the calculations we try to explain and improve the catalytic mechanism and the structural stability to apply in different environmental settings.