Davide Sabbadin

According to our database, Davide Sabbadin authored at least 7 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

Shape-Based Generative Modeling for de Novo Drug Design.

Miha Skalic, José Jiménez, Davide Sabbadin, Gianni De Fabritiis

J. Chem. Inf. Model., 2019

PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks.

José Jiménez, Davide Sabbadin, Alberto Cuzzolin, Gerard Martínez-Rosell, Jacob Gora, John Manchester, José S. Duca, Gianni De Fabritiis

J. Chem. Inf. Model., 2019

2016

Deciphering the Complexity of Ligand-Protein Recognition Pathways Using Supervised Molecular Dynamics (SuMD) Simulations.

Alberto Cuzzolin, Mattia Sturlese, Giuseppe Deganutti, Veronica Salmaso, Davide Sabbadin, Antonella Ciancetta, Stefano Moro

J. Chem. Inf. Model., 2016

2015

Modeling ligand recognition at the P2Y12 receptor in light of X-ray structural information.

Silvia Paoletta, Davide Sabbadin, Ivar von Kügelgen, Sonja Hinz, Vsevolod Katritch, Kristina Hoffmann, Aliaa Abdelrahman, Jens Straßburger, Younis Baqi, Qiang Zhao, Raymond C. Stevens, Stefano Moro, Christa E. Müller, Kenneth A. Jacobson

J. Comput. Aided Mol. Des., 2015

2014

Supervised Molecular Dynamics (SuMD) as a Helpful Tool To Depict GPCR-Ligand Recognition Pathway in a Nanosecond Time Scale.

Davide Sabbadin, Stefano Moro

J. Chem. Inf. Model., 2014

Perturbation of Fluid Dynamics Properties of Water Molecules during G Protein-Coupled Receptor-Ligand Recognition: The Human A_2A Adenosine Receptor as a Key Study.

Davide Sabbadin, Antonella Ciancetta, Stefano Moro

J. Chem. Inf. Model., 2014

Bridging Molecular Docking to Membrane Molecular Dynamics To Investigate GPCR-Ligand Recognition: The Human A_2A Adenosine Receptor as a Key Study.

Davide Sabbadin, Antonella Ciancetta, Stefano Moro

J. Chem. Inf. Model., 2014