The research activity of PLM focuses on the development of systems
based on Neural Networks, Hidden Markov Models and Support Vector
Machines for the prediction of functional and structural features
in proteins. In particular he developed systems for the prediction
of the secondary structure of proteins, of the topology and
topography of membrane proteins (both from inner and outer
membranes), of the bonding state of cysteines, of the subcellular
localization. Moreover he studied and simulated the protein folding
process, he modelled the structure of different proteins,
integrating computational and experimental information, he analysed
the interaction between proteins and ligands by means of docking
procedures and molecular dynamics simulations.
