Luigi Di Biasi
Luigi Di Biasi
Email verificata su unisa.it - Home page
Titolo
Citata da
Citata da
Anno
GRIMD: distributed computing for chemists and biologists
S Piotto, L Di Biasi, S Concilio, A Castiglione, G Cattaneo
Bioinformation 10 (1), 43, 2014
132014
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
92016
Transmembrane peptides as sensors of the membrane physical state
S Piotto, L Di Biasi, L Sessa
Frontiers in Physics 6, 48, 2018
72018
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
72016
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
52015
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
32015
Concilio S (2018) Transmembrane peptides as sensors of the membrane physical state
S Piotto, L Di Biasi, L Sessa
Front Phys 6, 1-13, 2018
22018
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
12019
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
12019
Receptor flexibility in molecular cross-docking
L Sessa, L Di BIasi, R Parisi, S Concilio, S Piotto
PeerJ Preprints 4, e2199v1, 2016
12016
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
12015
Evaluating Epidemiological Risk by Using Open Contact Tracing Data: Correlational Study
S Piotto, L Di Biasi, F Marrafino
Journal of medical Internet research 23 (8), e28947, 2021
2021
SNARER: New Molecular Descriptors for SNARE Proteins Classification
AA Citarella, L Di Biasi, M Risi, G Tortora
2021
Evaluation of epidemiological risk using contact tracing open data.
S Piotto, L Di Biasi, F Marrafino
Journal of Medical Internet Research, 2021
2021
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
2017
Gene Ontology Terms Visualization with Dynamic Distance-Graph and Similarity Measures
AA Citarella, F De Marco, L Di Biasi, M Risi, G Tortora
Reconstruction and Visualization of Protein Structures by exploiting Bidirectional Neural Networks and Discrete Classes
AA Citarella, L Porcelli, L Di Biasi, M Risi, G Tortora
GO Terms Visualization with Dynamic Distance-Graph and Similarity Measures
AA Citarella, F De Marco, L Di Biasi, M Risi, G Tortora
SENECA: An Attention Support Tool for Context-related Content Learning
AA Citarella, L Di Biasi, S Piotto, M Risi, G Tortora
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–19