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ORCIDAlberto Cuzzolin
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2020 – today
- 2023
[j7]Francesca Galvani
, Daniele Pala, Alberto Cuzzolin, Laura Scalvini, Alessio Lodola, Marco Mor, Andrea Rizzi:
Unbinding Kinetics of Muscarinic M3 Receptor Antagonists Explained by Metadynamics Simulations. J. Chem. Inf. Model. 63(9): 2842-2856 (2023)- 2020
- [j6]Alejandro Varela-Rial, Maciej Majewski, Alberto Cuzzolin, Gerard Martínez-Rosell, Gianni De Fabritiis:
SkeleDock: A Web Application for Scaffold Docking in PlayMolecule. J. Chem. Inf. Model. 60(6): 2673-2677 (2020)
2010 – 2019
- 2019
- [j5]José Jiménez, Davide Sabbadin, Alberto Cuzzolin, Gerard Martínez-Rosell, Jacob Gora, John Manchester, José S. Duca, Gianni De Fabritiis:
PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks. J. Chem. Inf. Model. 59(3): 1172-1181 (2019) - 2018
- [j4]Veronica Salmaso, Mattia Sturlese, Alberto Cuzzolin, Stefano Moro:
Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2. J. Comput. Aided Mol. Des. 32(1): 251-264 (2018) - 2016
- [j3]Veronica Salmaso, Mattia Sturlese, Alberto Cuzzolin, Stefano Moro:
DockBench as docking selector tool: the lesson learned from D3R Grand Challenge 2015. J. Comput. Aided Mol. Des. 30(9): 773-789 (2016) - [j2]Alberto Cuzzolin, Mattia Sturlese, Giuseppe Deganutti, Veronica Salmaso, Davide Sabbadin, Antonella Ciancetta, Stefano Moro:
Deciphering the Complexity of Ligand-Protein Recognition Pathways Using Supervised Molecular Dynamics (SuMD) Simulations. J. Chem. Inf. Model. 56(4): 687-705 (2016) - 2014
- [j1]Antonella Ciancetta, Alberto Cuzzolin, Stefano Moro:
Alternative Quality Assessment Strategy to Compare Performances of GPCR-Ligand Docking Protocols: The Human Adenosine A2A Receptor as a Case Study. J. Chem. Inf. Model. 54(8): 2243-2254 (2014)
Coauthor Index
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