Concilio L Sessa, LD Biasi S, 2016 | 23* | 2016 |
Yada: a novel tool for molecular docking calculations S Piotto, L Di Biasi, R Fino, R Parisi, L Sessa, S Concilio Journal of computer-aided molecular design 30, 753-759, 2016 | 18 | 2016 |
GRIMD: distributed computing for chemists and biologists S Piotto, L Di Biasi, S Concilio, A Castiglione, G Cattaneo Bioinformation 10 (1), 43, 2014 | 15 | 2014 |
Transmembrane peptides as sensors of the membrane physical state S Piotto, L Di Biasi, L Sessa, S Concilio Frontiers in Physics 6, 48, 2018 | 10 | 2018 |
Mapreduce in computational biology-a synopsis G Cattaneo, R Giancarlo, S Piotto, U Ferraro Petrillo, G Roscigno, ... Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry …, 2017 | 9 | 2017 |
A cloud approach for melanoma detection based on deep learning networks L Di Biasi, AA Citarella, M Risi, G Tortora IEEE Journal of Biomedical and Health Informatics 26 (3), 962-972, 2021 | 7 | 2021 |
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, ... Advances in Artificial Life, Evolutionary Computation and Systems Chemistry …, 2016 | 5 | 2016 |
A new flexible protocol for docking studies L Sessa, L Di Biasi, S Concilio, G Cattaneo, A De Santis, P Iannelli, ... Advances in Artificial Life, Evolutionary Computation and Systems Chemistry …, 2016 | 4 | 2016 |
Snarer: new molecular descriptors for snare proteins classification A Auriemma Citarella, L Di Biasi, M Risi, G Tortora BMC bioinformatics 23 (1), 148, 2022 | 3 | 2022 |
Encoding Materials Dynamics for Machine Learning Applications S Piotto, AM Nardiello, L Di Biasi, L Sessa Advances in Bionanomaterials II: Selected Papers from the 3rd International …, 2020 | 3 | 2020 |
Pseudo-semantic Approach to Study Model Membranes AM Nardiello, S Piotto, L Di Biasi, L Sessa Advances in Bionanomaterials II: Selected Papers from the 3rd International …, 2020 | 3 | 2020 |
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 2021 25th international conference information visualisation (IV), 285-290, 2021 | 2 | 2021 |
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier A Auriemma Citarella, L Di Biasi, F De Marco, G Tortora BMC bioinformatics 23 (1), 1-15, 2022 | 1 | 2022 |
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 23 (8), e28947, 2021 | 1 | 2021 |
Gene Ontology Terms Visualization with Dynamic Distance-Graph and Similarity Measures (S). AA Citarella, F De Marco, L Di Biasi, M Risi, G Tortora DMSVIVA, 85-91, 2021 | 1 | 2021 |
SENECA: An Attention Support Tool for Context-related Content Learning. AA Citarella, L Di Biasi, S Piotto, M Risi, G Tortora DMSVIVA, 36-45, 2021 | 1 | 2021 |
Fragment based molecular dynamics for drug design L Sessa, L Di Biasi, S Concilio, S Piotto Artificial Life and Evolutionary Computation: 12th Italian Workshop, WIVACE …, 2018 | 1 | 2018 |
Receptor flexibility in molecular cross-docking L Sessa, L Di BIasi, R Parisi, S Concilio, S Piotto PeerJ Preprints 4, e2199v1, 2016 | 1 | 2016 |
Models for the Prediction of Antimicrobial Peptides Activity R Parisi, I Moccia, L Sessa, L Di Biasi, S Concilio, S Piotto Advances in Artificial Life, Evolutionary Computation and Systems Chemistry …, 2016 | 1 | 2016 |
Artificial Chemical Neural Network for Drug Discovery Applications S Piotto, L Sessa, J Santoro, L Di Biasi Artificial Life and Evolutionary Computation: 15th Italian Workshop, WIVACE …, 2023 | | 2023 |