On the human taste perception: Molecular-level understanding empowered by computational methods
Pallante, L., Malavolta, M., Grasso, G., Korfiati, A., Mavroudi, S., Mavkov, B., Kalogeras, A., Alexakos, C., Martos, V., Amoroso, D., di Benedetto, G., Piga, D., Theofilatos, K., & Deriu, M. A. (2021). Trends in Food Science & Technology, 116, 445–459. https://doi.org/10.1016/j.tifs.2021.07.013
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques
Venturini, F., Sperti, M., Michelucci, U., Herzig, I., Baumgartner, M., Caballero, J. P., Jimenez, A., & Deriu, M. A. (2021). Foods, 10(5), 1010. https://doi.org/10.3390/foods10051010
Fragmented blind docking: a novel protein-ligand binding prediction protocol
Grasso, G., Di Gregorio, A., Mavkov, B., Piga, D., Labate, G. F. D., Danani, A., & Deriu, M. A. (2021). Journal of Biomolecular Structure and Dynamics, 0(0), 1–10. https://doi.org/10.1080/07391102.2021.1988709
Use of machine learning to establish limits in the classification of hyperaccumulator plants growing on serpentine, gypsum and dolomite soils
Mota-Merlo, M., & Martos, V. (2021). Mediterranean Botany, 42, e67609. https://doi.org/10.5209/mbot.67609
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification
Michelucci, U., Sperti, M., Piga, D., Venturini, F., & Deriu, M. A. (2021). Algorithms, 14(11), 301. https://doi.org/10.3390/a14110301
JAK inhibitors in immune-mediated rheumatic diseases: From a molecular perspective to clinical studies
Sperti, M., Malavolta, M., Ciniero, G., Borrelli, S., Cavaglià, M., Muscat, S., Tuszynski, J. A., Afeltra, A., Margiotta, D. P. E., & Navarini, L. (2021). Journal of Molecular Graphics and Modelling, 104, 107789. https://doi.org/10.1016/j.jmgm.2020.107789
Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0
Martos, V., Ahmad, A., Cartujo, P., & Ordoñez, J. (2021). Applied Sciences, 11(13), 5911. https://doi.org/10.3390/app11135911
The Impact of Natural Compounds on S-Shaped Aβ42 Fibril: From Molecular Docking to Biophysical Characterization
Muscat, S., Pallante, L., Stojceski, F., Danani, A., Grasso, G., & Deriu, M. A. (2020). International Journal of Molecular Sciences, 21(6), 2017. https://doi.org/10.3390/ijms21062017
When Stiffness Matters: Mechanosensing in Heart Development and Disease
Gaetani, R., Zizzi, E. A., Deriu, M. A., Morbiducci, U., Pesce, M., & Messina, E. (2020). Frontiers in Cell and Developmental Biology, 8(May), 1–16. https://doi.org/10.3389/fcell.2020.00334
Remotely Piloted Aircraft (RPA) in Agriculture: A Pursuit of Sustainability
Ahmad, A., Ordoñez, J., Cartujo, P., & Martos, V. (2020). Agronomy, 11(1), 7. https://doi.org/10.3390/agronomy11010007
Master Theses
Ligand-Driven Dynamics of Human Taste Receptors by Molecular Modelling
M. Malavolta, Supervisor: M.A. Deriu, Co-Supervisors: J.A. Tuszynski, L. Pallante.
Biomedical Engineering Master Thesis, 2020, Politecnico di Torino.
Insights into Promiscuous and Selective Nature of Human Bitter Taste Receptors by Molecular Modelling
S.Balachia, Supervisor: M.A. Deriu, Co-Supervisors: L. Pallante, M. Malavolta
Biomedical Engineering Master Thesis, 2020, Politecnico di Torino.
Molecular mechanics-driven comparative analysis of protein-ligand binding pockets to investigate the relationship between taste perception and metabolic pathways
X.Hada, Supervisor: M.A. Deriu, Co-Supervisors: E.A. Zizzi
Biomedical Engineering Master Thesis, 2020, Politecnico di Torino.
Molecular Dynamics Investigation of the Human Epithelial Sodium Channel Behaviour in Salty Taste Recognition
Alessandro Leoni; Supervisors: Marco Agostino Deriu, Lorenzo Pallante
Biomedical Engineering Master Thesis, 2021, Politecnico di Torino.
Insight Into The Human Sour Taste Receptor: A Molecular Modelling Study On The Otopetrin Family Candidates
Francesca Donato; Supervisors: Marco Agostino Deriu, Lorenzo Pallante
Biomedical Engineering Master Thesis, 2021, Politecnico di Torino.
Machine learning-driven prediction of chemical compound sweetness based on molecular descriptors
Juan Antonio di Lorenzo; Supervisors: Marco Agostino Deriu, Marta Malavolta, Lorenzo Pallante
Biomedical Engineering Master Thesis, 2021, Politecnico di Torino.
Phylogenic signal in serpentinophytes with Artificial Intelligence
Direction of a Research Initiation Grant for Marina Mota: 4th-year student Degree in Biotechnology, University of Granada (UGR), 2019
