21 citations · 21 across the 4 of their papers we have counts for
3 papers · 1 filter
EXCOGITO, an extensible coarse-graining toolbox for the investigation of biomolecules by means of low-resolution representation
Marco Giulini, Raffaele Fiorentini, Luca Tubiana +2
Bottom-up coarse-grained (CG) models proved to be essential to complement and sometimes even replace all-atom representations of soft matter systems and biological macromolecules.…
A mapping space Odyssey: characterising the statistical and metric properties of reduced representations of macromolecules
Roberto Menichetti, Marco Giulini, Raffaello Potestio
Simplified representations of macromolecules help in rationalising and understanding the outcome of atomistic simulations, and serve to the construction of effective, coarse-graine…
A deep learning approach to the structural analysis of proteins
Marco Giulini, Raffaello Potestio
Deep Learning (DL) algorithms hold great promise for applications in the field of computational biophysics. In fact, the vast amount of available molecular structures, as well as t…