Prediction of the permeability of neutral drugs inferred from their solvation properties. - Edoardo Milanetti; Domenico Raimondo; Anna Tramontano (Bioinform., 2016)

Insights on protein thermal stability: a graph representation of molecular interactions. - Mattia Miotto; Pier Paolo Olimpieri; Lorenzo Di Rienzo; Francesco Ambrosetti; Pietro Corsi; Rosalba Lepore; Gian Gaetano Tartaglia; Edoardo Milanetti (Bioinform., 2019)

On the activation and deactivation pathways of the Lck kinase domain: a computational study. - Josephine Alba; Edoardo Milanetti; Marco D'Abramo (J. Comput. Aided Mol. Des., 2019)

proABC-2: PRediction of AntiBody contacts v2 and its application to information-driven docking. - Francesco Ambrosetti; Tobias Hegelund Olsen; Pier Paolo Olimpieri; Brian Jiménez-García; Edoardo Milanetti; Paolo Marcatili; Alexandre M. J. J. Bonvin (Bioinform., 2020)

Simulated Epidemics in 3D Protein Structures to Detect Functional Properties. - Mattia Miotto; Lorenzo Di Rienzo; Pietro Corsi; Giancarlo Ruocco; Domenico Raimondo; Edoardo Milanetti (J. Chem. Inf. Model., 2020)

Quantitative Characterization of Binding Pockets and Binding Complementarity by Means of Zernike Descriptors. - Lorenzo Di Rienzo; Edoardo Milanetti; Josephine Alba; Marco D'Abramo (J. Chem. Inf. Model., 2020)

Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks. - Michele Monti; Jonathan Fiorentino; Edoardo Milanetti; Giorgio Gosti; Gian Gaetano Tartaglia (CoRR, 2021)

Thermometer: a webserver to predict protein thermal stability. - Mattia Miotto; Alexandros Armaos; Lorenzo Di Rienzo; Giancarlo Ruocco; Edoardo Milanetti; Gian Gaetano Tartaglia (Bioinform., 2022)

Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks. - Michele Monti; Jonathan Fiorentino; Edoardo Milanetti; Giorgio Gosti; Gian Gaetano Tartaglia (Entropy, 2022)

Binding site identification of G protein-coupled receptors through a 3D Zernike polynomials-based method: application to C. elegans olfactory receptors. - Lorenzo Di Rienzo; Luca De Flaviis; Giancarlo Ruocco; Viola Folli; Edoardo Milanetti (J. Comput. Aided Mol. Des., 2022)

A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG. - Giorgio Gosti; Edoardo Milanetti; Viola Folli; Francesco de Pasquale; Marco Leonetti; Maurizio Corbetta; Giancarlo Ruocco; Stefania Della Penna (Neural Networks, 2024)

Compact Assessment of Molecular Surface Complementarities Enhances Neural Network-Aided Prediction of Key Binding Residues. - Greta Grassmann; Lorenzo Di Rienzo; Giancarlo Ruocco; Mattia Miotto; Edoardo Milanetti (J. Chem. Inf. Model., 2025)