| On the human taste perception: Molecular-level understanding empowered by computational methods L Pallante, M Malavolta, G Grasso, A Korfiati, S Mavroudi, B Mavkov, ... Trends in Food Science & Technology 116, 445-459, 2021 | 46 | 2021 |
| A survey on computational taste predictors M Malavolta, L Pallante, B Mavkov, F Stojceski, G Grasso, A Korfiati, ... European Food Research and Technology 248 (9), 2215-2235, 2022 | 30 | 2022 |
| The Impact of Natural Compounds on S-Shaped Aβ42 Fibril: From Molecular Docking to Biophysical Characterization S Muscat, L Pallante, F Stojceski, A Danani, G Grasso, MA Deriu International Journal of Molecular Sciences 21 (6), 2017, 2020 | 25 | 2020 |
| Informed classification of sweeteners/bitterants compounds via explainable machine learning G Maroni, L Pallante, G Di Benedetto, MA Deriu, D Piga, G Grasso Current Research in Food Science 5, 2270-2280, 2022 | 19 | 2022 |
| Noncovalent Interactions with PAMAM and PPI Dendrimers Promote the Cellular Uptake and Photodynamic Activity of Rose Bengal: The Role of the Dendrimer Structure K Sztandera, M Gorzkiewicz, AS Dias Martins, L Pallante, EA Zizzi, ... Journal of medicinal chemistry 64 (21), 15758-15771, 2021 | 19 | 2021 |
| In silico Investigations of the Mode of Action of Novel Colchicine Derivatives Targeting β-Tubulin Isotypes: A Search for a Selective and Specific β-III Tubulin Ligand L Pallante, A Rocca, G Klejborowska, A Huczynski, G Grasso, ... Frontiers in Chemistry 8, 108, 2020 | 18 | 2020 |
| Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach L Pallante, A Korfiati, L Androutsos, F Stojceski, A Bompotas, I Giannikos, ... Scientific Reports 12 (1), 21735, 2022 | 16 | 2022 |
| Molecular and Coarse-Grained Modeling to Characterize and Optimize Dendrimer-Based Nanocarriers for Short Interfering RNA Delivery F Stojceski, G Grasso, L Pallante, A Danani ACS omega 5 (6), 2978-2986, 2020 | 14 | 2020 |
| VirtuousPocketome: a computational tool for screening protein–ligand complexes to identify similar binding sites L Pallante, M Cannariato, L Androutsos, EA Zizzi, A Bompotas, X Hada, ... Scientific Reports 14 (1), 6296, 2024 | 10 | 2024 |
| LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides G Maroni, F Stojceski, L Pallante, MA Deriu, D Piga, G Grasso arXiv preprint arXiv:2406.01617, 2024 | 5 | 2024 |
| Mechanical communication within the microtubule through network-based analysis of tubulin dynamics M Cannariato, EA Zizzi, L Pallante, M Miceli, MA Deriu Biomechanics and Modeling in Mechanobiology 23 (2), 569-579, 2024 | 5 | 2024 |
| Predicting multiple taste sensations with a multiobjective machine learning method L Androutsos, L Pallante, A Bompotas, F Stojceski, G Grasso, D Piga, ... npj Science of Food 8 (1), 47, 2024 | 3 | 2024 |
| Machine learning aided molecular modelling of taste to identify food fingerprints L Pallante, M Cannariato, F Vezzulli, M Malavolta, M Lambri, MA Deriu Chemical Engineering Transactions 102 (settembre 2023), 283-288, 2023 | 3 | 2023 |
| Exploring TAS2R46 biomechanics through molecular dynamics and network analysis M Cannariato, R Fanunza, EA Zizzi, M Miceli, G Di Benedetto, MA Deriu, ... Frontiers in Molecular Biosciences 11, 1473675, 2024 | 2 | 2024 |
| La carne coltivata oltre i divieti: Dieci spunti a partire dal caso italiano per un processo decisionale ragionato MA Fino, B Anzà, L Bairati, I Bertini, B Biolatti, S Biressi, FT Cannizzo, ... | | 2024 |
| Cultivated meat beyond bans: Ten remarks from the Italian case toward a reasoned decision-making process MA Fino, B Anzà, L Bairati, I Bertini, B Biolatti, S Biressi, FT Cannizzo, ... One Earth 7 (12), 2108-2111, 2024 | | 2024 |
| Conformational Dynamics and Molecular Characterization of Alsin MORN monomer and dimeric assemblies M Miceli, M Cannariato, R Tortarolo, L Pallante, EA Zizzi, MA Deriu Proteins: Structure, Function, and Bioinformatics 92 (11), 1343-1353, 2024 | | 2024 |
| Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions F Ferri, M Cannariato, L Pallante, EA Zizzi, MA Deriu arXiv preprint arXiv:2406.15039, 2024 | | 2024 |
| Artificial intelligence-driven prediction of taste perception, molecular mechanisms, and food molecule trajectory L Pallante, M Cannariato, F Vezzulli, M Lambri, MA Deriu Science Talks 10, 100353, 2024 | | 2024 |
| Machine learning approaches to predict TAS2R receptors for bitterants F Ferri, M Cannariato, MA Deriu, L Pallante Biotechnology and Bioengineering 121 (6), 1755-1758, 2024 | | 2024 |
Marco Agostino DeriuDepartment of Mechanical and Aerospace Engineeing, Politecnico di TorinoE-mail megerősítve itt: polito.it