Ultimo aggiornamento: 6 Agosto 2021
Evaluating Epidemiological Risk by Using Open Contact Tracing Data: Correlational Study – S Piotto, L Di Biasi, F Marrafino, S Concilio – Journal of Medical Internet Research, Vol 23, N. 8, 2021
SENECA: An Attention Support Tool for Context-related Content Learning – A A Citarella, L Di Biasi, S Piotto, M Risi, G Tortora – DMSVIVA 2021
Reconstruction and Visualization of Protein Structures by exploiting Bidirectional Neural Networks and Discrete Classes (under upgrade) 2021
GO Terms Visualization with Dynamic Distance-Graph and Similarity Measures (under upgrade) 2021
Encoding Materials Dynamics for Machine Learning Applications – S Piotto, AM Nardiello, L Di Biasi, L Sessa – International Conference on Bio and Nanomaterials, 128-136, 2019
Pseudo-semantic Approach to Study Model Membranes – AM Nardiello, S Piotto, L Di Biasi, L Sessa – International Conference on Bio and Nanomaterials, 120-127, 2019
Transmembrane peptides as sensors of the membrane physical state – S Piotto, L Di Biase, L Sessa – Front Phys 6, 48, 2018
Transmembrane peptides as sensors of the membrane physical state – S Piotto, L Di Biasi, L Sessa – Frontiers in Physics 6, 48, 2018
Fragment based molecular dynamics for drug design – L Sessa, L Di Biasi, S Piotto – Italian Workshop on Artificial Life and Evolutionary Computation, 49-58, 2017
Mapreduce in computational biology-a synopsis – G Cattaneo, R Giancarlo, S Piotto, UF Petrillo, G Roscigno, L Di Biasi – Italian Workshop on Artificial Life and Evolutionary Computation, 53-64, 2016
Yada: a novel tool for molecular docking calculations – S Piotto, L Di Biasi, R Fino, R Parisi, L Sessa – Journal of computer-aided molecular design 30 (9), 753-759, 2016
Receptor flexibility in molecular cross-docking – L Sessa, L Di BIasi, R Parisi, S Concilio, S Piotto – PeerJ Preprints 4, e2199v1, 2016
A new flexible protocol for docking studies – L Sessa, L Di Biasi, G Cattaneo, A De Santis, P Iannelli, S Piotto – Italian Workshop on Artificial Life and Evolutionary Computation, 117-126, 2015
Models for the Prediction of Antimicrobial Peptides Activity – R Parisi, I Moccia, L Sessa, L Di Biasi, S Piotto – Italian Workshop on Artificial Life and Evolutionary Computation, 83-91, 2015
Novel algorithm for efficient distribution of molecular docking calculations – L Di Biasi, R Fino, R Parisi, L Sessa, G Cattaneo, A De Santis, P Iannelli, – Italian Workshop on Artificial Life and Evolutionary Computation, 65-74, 2015
GRIMD: distributed computing for chemists and biologistsS Piotto, L Di Biasi, S Concilio, A Castiglione, G Cattaneo – Bioinformation 10 (1), 43, 2014