Stefano Moro

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 10

Top Topics

Protein Folding

Structural Information

Autonomous Driving

Top Venues

J. Chem. Inf. Model.

J. Comput. Aided Mol. Des.

Publications

Deborah Palazzotti, Tommaso Felicetti, Stefano Sabatini, Stefano Moro, Maria Letizia Barreca, Mattia Sturlese, Andrea Astolfi
NorA Efflux Pump Recognizes 2-Phenylquinoline Inhibitors by Supervised Molecular Dynamics (SuMD) and Molecular Docking Simulations. J. Chem. Inf. Model. 63 (15) (2023)
Se-Yeon Jeon, Brian P. Hawkins, Samuel Prager, Matthew Anderson, Stefano Moro, Robert Beauchamp, Eric Loria, Soon-Jo Chung, Marco Lavalle
Uav-Borne Bistatic Sar and Insar Experiments in Support of STV and SDC Target Observables. IGARSS (2023)
Matteo Pavan, Silvia Menin, Davide Bassani, Mattia Sturlese, Stefano Moro
Qualitative Estimation of Protein-Ligand Complex Stability through Thermal Titration Molecular Dynamics Simulations. J. Chem. Inf. Model. 62 (22) (2022)
Stefano Moro, Vineeth Teeda, Davide Scazzoli, Luca Reggiani, Maurizio Magarini
Experimental UAV-Aided RSSI Localization of a Ground RF Emitter in 865 MHz and 2.4 GHz Bands. VTC Spring (2022)
Enrico Margiotta, Stephanie C. C. van der Lubbe, Lucas de Azevedo Santos, Gábor Paragi, Stefano Moro, F. Matthias Bickelhaupt, Célia Fonseca Guerra
Halogen Bonds in Ligand-Protein Systems: Molecular Orbital Theory for Drug Design. J. Chem. Inf. Model. 60 (3) (2020)
Giuseppe Deganutti, Stefano Moro, Christopher A. Reynolds
A Supervised Molecular Dynamics Approach to Unbiased Ligand-Protein Unbinding. J. Chem. Inf. Model. 60 (3) (2020)
Enrico Margiotta, Giuseppe Deganutti, Stefano Moro
Could the presence of sodium ion influence the accuracy and precision of the ligand-posing in the human A2A adenosine receptor orthosteric binding site using a molecular docking approach? Insights from Dockbench. J. Comput. Aided Mol. Des. 32 (12) (2018)
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) (2018)
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) (2016)
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) (2016)
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
Modeling ligand recognition at the P2Y12 receptor in light of X-ray structural information. J. Comput. Aided Mol. Des. 29 (8) (2015)
Davide Sabbadin, Antonella Ciancetta, Stefano Moro
Adenosine Receptor as a Key Study. J. Chem. Inf. Model. 54 (10) (2014)
Antonella Ciancetta, Alberto Cuzzolin, Stefano Moro
Receptor as a Case Study. J. Chem. Inf. Model. 54 (8) (2014)
Davide Sabbadin, Stefano Moro
Supervised Molecular Dynamics (SuMD) as a Helpful Tool To Depict GPCR-Ligand Recognition Pathway in a Nanosecond Time Scale. J. Chem. Inf. Model. 54 (2) (2014)
Davide Sabbadin, Antonella Ciancetta, Stefano Moro
Adenosine Receptor as a Key Study. J. Chem. Inf. Model. 54 (1) (2014)
Magdalena Bacilieri, Antonella Ciancetta, Silvia Paoletta, Stephanie Federico, Sandro Cosconati, Barbara Cacciari, Sabrina Taliani, Federico Da Settimo, Ettore Novellino, Karl Norbert Klotz, Giampiero Spalluto, Stefano Moro
Adenosine Receptor Antagonists. J. Chem. Inf. Model. 53 (7) (2013)
Matteo Floris, Joel Masciocchi, Marco Fanton, Stefano Moro
Swimming into peptidomimetic chemical space using pepMMsMIMIC. Nucleic Acids Res. 39 (Web-Server-Issue) (2011)
Lisa Michielan, Stefano Moro
Pharmaceutical Perspectives of Nonlinear QSAR Strategies. J. Chem. Inf. Model. 50 (6) (2010)
Luca Pireddu, Lisa Michielan, Matteo Floris, Patricia Rodriguez-Tomé, Stefano Moro
Fingerprint-based detection of acute aquatic toxicity. J. Cheminformatics 2 (S-1) (2010)
Lisa Michielan, Lothar Terfloth, Johann Gasteiger, Stefano Moro
Comparison of Multilabel and Single-Label Classification Applied to the Prediction of the Isoform Specificity of Cytochrome P450 Substrates. J. Chem. Inf. Model. 49 (11) (2009)
Lisa Michielan, Stephanie Federico, Lothar Terfloth, Dimitar Hristozov, Barbara Cacciari, Karl Norbert Klotz, Giampiero Spalluto, Johann Gasteiger, Stefano Moro
Exploring Potency and Selectivity Receptor Antagonist Profiles Using a Multilabel Classification Approach: The Human Adenosine Receptors as a Key Study. J. Chem. Inf. Model. 49 (12) (2009)
Riccardo Cardin, Lisa Michielan, Stefano Moro, Alessandro Sperduti
PCA-Based Representations of Graphs for Prediction in QSAR Studies. ICANN (2) (2009)
Joel Masciocchi, Gianfranco Frau, Marco Fanton, Mattia Sturlese, Matteo Floris, Luca Pireddu, Piergiorgio Palla, Fabian Cedrati, Patricia Rodriguez-Tomé, Stefano Moro
MMsINC: a large-scale chemoinformatics database. Nucleic Acids Res. 37 (Database-Issue) (2009)
Lisa Michielan, Magdalena Bacilieri, Andrea Schiesaro, Chiara Bolcato, Giorgia Pastorin, Giampiero Spalluto, Barbara Cacciari, Karl Norbert Klotz, Chosei Kaseda, Stefano Moro
Receptor. J. Chem. Inf. Model. 48 (2) (2008)
Marco Fanton, Matteo Floris, Gianfranco Frau, Mattia Sturlese, Joel Masciocchi, Piergiorgio Palla, Fabian Cedrati, Patricia Rodriguez-Tomé, Stefano Moro
MMsINC®: A New Public Large-Scale Chemoinformatics Database System. BIOTECHNO (2008)
Andrea Bortolato, Stefano Moro
In Silico Binding Free Energy Predictability by Using the Linear Interaction Energy (LIE) Method: Bromobenzimidazole CK2 Inhibitors as a Case Study. J. Chem. Inf. Model. 47 (2) (2007)
Magdalena Bacilieri, Flavia Varano, Francesca Deflorian, M. Marini, Daniela Catarzi, Vittoria Colotta, Guido Filacchioni, Alessandro Galli, Chiara Costagli, Chosei Kaseda, Stefano Moro
Tandem 3D-QSARs Approach as a Valuable Tool To Predict Binding Affinity Data: Design of New Gly/NMDA Receptor Antagonists as a Key Study. J. Chem. Inf. Model. 47 (5) (2007)
Stefano Moro, An-Hu Li, Kenneth A. Jacobson
Molecular Modeling Studies of Human A3 Adenosine Antagonists: Structural Homology and Receptor Docking. J. Chem. Inf. Comput. Sci. 38 (6) (1998)