Stefano Moro

36 papers C 2Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
D4: Distance diffusion for a truly equivariant molecular design.
Neurocomputing
Samuel Cognolato, Davide Rigoni, Marco Ballarini, Luciano Serafini, Stefano Moro, Alessandro Sperduti
2026 J jnl
MolVE: An Open-Source Web Platform for Visualizing and Evaluating AI-Designed Molecules to Aid in Prioritization.
J. Chem. Inf. Model.
Davide Rigoni, Alessandro Sperduti, Stefano Moro
2025 J jnl
Differentiation and Localization of Ground RF Transmitters Through RSSI Measures From a UAV.
IEEE Trans. Veh. Technol.
Vineeth Teeda, Stefano Moro, Davide Scazzoli, Luca Reggiani, Maurizio Magarini
2025 J jnl
Post-Docking Refinement of Peptide or Protein-RNA Complexes Using Thermal Titration Molecular Dynamics (TTMD): A Stability Insight.
J. Chem. Inf. Model.
Andrea Dodaro, Gianluca Novello, Silvia Menin, Chiara Cavastracci Strascia, Mattia Sturlese, Veronica Salmaso, Stefano Moro
2025 J jnl
Thermal Titration Molecular Dynamics: The Revenge of the Fragments.
J. Chem. Inf. Model.
Matteo Pavan, Silvia Menin, Andrea Dodaro, Gianluca Novello, Chiara Cavastracci Strascia, Mattia Sturlese, Veronica Salmaso, Stefano Moro
2024 J jnl
Enhancing User Localization with an Integrated Sensing and Communication (ISAC) System: An Experimental UAV Search-and-Rescue Use Case.
Remote. Sens.
Stefano Moro, Francesco Linsalata, Marco Manzoni, Maurizio Magarini, Stefano Tebaldini
2024 — conf
Exploring ISAC Technology for UAV SAR Imaging.
ICC
Stefano Moro, Francesco Linsalata, Marco Manzoni, Maurizio Magarini, Stefano Tebaldini
2024 C conf
ISAC Technology in Action: UAV-Based SAR Imaging Potential.
IGARSS
Stefano Moro, Marco Manzoni, Francesco Linsalata, Stefano Tebaldini
2023 J jnl
Fighting Antimicrobial Resistance: Insights on How the
J. Chem. Inf. Model.
Deborah Palazzotti, Tommaso Felicetti, Stefano Sabatini, Stefano Moro, Maria Letizia Barreca, Mattia Sturlese, Andrea Astolfi
2023 C conf
Uav-Borne Bistatic Sar and Insar Experiments in Support of STV and SDC Target Observables.
IGARSS
Se-Yeon Jeon, Brian P. Hawkins, Samuel Prager, Matthew Anderson, Stefano Moro, Robert Beauchamp, Eric Loria, Soon-Jo Chung, Marco Lavalle
2022 — conf
Experimental UAV-Aided RSSI Localization of a Ground RF Emitter in 865 MHz and 2.4 GHz Bands.
VTC Spring
Stefano Moro, Vineeth Teeda, Davide Scazzoli, Luca Reggiani, Maurizio Magarini
2022 J jnl
Qualitative Estimation of Protein-Ligand Complex Stability through Thermal Titration Molecular Dynamics Simulations.
J. Chem. Inf. Model.
Matteo Pavan, Silvia Menin, Davide Bassani, Mattia Sturlese, Stefano Moro
2020 J jnl
A Supervised Molecular Dynamics Approach to Unbiased Ligand-Protein Unbinding.
J. Chem. Inf. Model.
Giuseppe Deganutti, Stefano Moro, Christopher A. Reynolds
2020 J jnl
Halogen Bonds in Ligand-Protein Systems: Molecular Orbital Theory for Drug Design.
J. Chem. Inf. Model.
Enrico Margiotta, Stephanie C. C. van der Lubbe, Lucas de Azevedo Santos, Gábor Paragi, Stefano Moro, Friedrich Matthias Bickelhaupt, Célia Fonseca Guerra
2018 J jnl
Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2.
J. Comput. Aided Mol. Des.
Veronica Salmaso, Mattia Sturlese, Alberto Cuzzolin, Stefano Moro
2018 J jnl
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.
Enrico Margiotta, Giuseppe Deganutti, Stefano Moro
2016 J jnl
Deciphering the Complexity of Ligand-Protein Recognition Pathways Using Supervised Molecular Dynamics (SuMD) Simulations.
J. Chem. Inf. Model.
Alberto Cuzzolin, Mattia Sturlese, Giuseppe Deganutti, Veronica Salmaso, Davide Sabbadin, Antonella Ciancetta, Stefano Moro
2016 J jnl
DockBench as docking selector tool: the lesson learned from D3R Grand Challenge 2015.
J. Comput. Aided Mol. Des.
Veronica Salmaso, Mattia Sturlese, Alberto Cuzzolin, Stefano Moro
2015 J jnl
Modeling ligand recognition at the P2Y12 receptor in light of X-ray structural information.
J. Comput. Aided Mol. Des.
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
2014 J jnl
Alternative Quality Assessment Strategy to Compare Performances of GPCR-Ligand Docking Protocols: The Human Adenosine A
J. Chem. Inf. Model.
Antonella Ciancetta, Alberto Cuzzolin, Stefano Moro
2014 J jnl
Bridging Molecular Docking to Membrane Molecular Dynamics To Investigate GPCR-Ligand Recognition: The Human A
J. Chem. Inf. Model.
Davide Sabbadin, Antonella Ciancetta, Stefano Moro
2014 J jnl
Perturbation of Fluid Dynamics Properties of Water Molecules during G Protein-Coupled Receptor-Ligand Recognition: The Human A
J. Chem. Inf. Model.
Davide Sabbadin, Antonella Ciancetta, Stefano Moro
2014 J jnl
Supervised Molecular Dynamics (SuMD) as a Helpful Tool To Depict GPCR-Ligand Recognition Pathway in a Nanosecond Time Scale.
J. Chem. Inf. Model.
Davide Sabbadin, Stefano Moro
2013 J jnl
Revisiting a Receptor-Based Pharmacophore Hypothesis for Human A
J. Chem. Inf. Model.
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
2011 J jnl
Swimming into peptidomimetic chemical space using pepMMsMIMIC.
Nucleic Acids Res.
Matteo Floris, Joel Masciocchi, Marco Fanton, Stefano Moro
2010 J jnl
Fingerprint-based detection of acute aquatic toxicity.
J. Cheminformatics
Luca Pireddu, Lisa Michielan, Matteo Floris, Patricia Rodriguez-Tomé, Stefano Moro
2010 J jnl
Pharmaceutical Perspectives of Nonlinear QSAR Strategies.
J. Chem. Inf. Model.
Lisa Michielan, Stefano Moro
2009 J jnl
Comparison of Multilabel and Single-Label Classification Applied to the Prediction of the Isoform Specificity of Cytochrome P450 Substrates.
J. Chem. Inf. Model.
Lisa Michielan, Lothar Terfloth, Johann Gasteiger, Stefano Moro
2009 J jnl
Exploring Potency and Selectivity Receptor Antagonist Profiles Using a Multilabel Classification Approach: The Human Adenosine Receptors as a Key Study.
J. Chem. Inf. Model.
Lisa Michielan, Stephanie Federico, Lothar Terfloth, Dimitar Hristozov, Barbara Cacciari, Karl Norbert Klotz, Giampiero Spalluto, Johann Gasteiger, Stefano Moro
2009 J jnl
MMsINC: a large-scale chemoinformatics database.
Nucleic Acids Res.
Joel Masciocchi, Gianfranco Frau, Marco Fanton, Mattia Sturlese, Matteo Floris, Luca Pireddu, Piergiorgio Palla, Fabian Cedrati, Patricia Rodriguez-Tomé, Stefano Moro
2009 — conf
PCA-Based Representations of Graphs for Prediction in QSAR Studies.
ICANN (2)
Riccardo Cardin, Lisa Michielan, Stefano Moro, Alessandro Sperduti
2008 J jnl
Linear and Nonlinear 3D-QSAR Approaches in Tandem with Ligand-Based Homology Modeling as a Computational Strategy To Depict the Pyrazolo-Triazolo-Pyrimidine Antagonists Binding Site of the Human Adenosine A
J. Chem. Inf. Model.
Lisa Michielan, Magdalena Bacilieri, Andrea Schiesaro, Chiara Bolcato, Giorgia Pastorin, Giampiero Spalluto, Barbara Cacciari, Karl Norbert Klotz, Chosei Kaseda, Stefano Moro
2008 — conf
MMsINC®: A New Public Large-Scale Chemoinformatics Database System.
BIOTECHNO
Marco Fanton, Matteo Floris, Gianfranco Frau, Mattia Sturlese, Joel Masciocchi, Piergiorgio Palla, Fabian Cedrati, Patricia Rodriguez-Tomé, Stefano Moro
2007 J jnl
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.
Andrea Bortolato, Stefano Moro
2007 J jnl
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.
Magdalena Bacilieri, Flavia Varano, Francesca Deflorian, M. Marini, Daniela Catarzi, Vittoria Colotta, Guido Filacchioni, Alessandro Galli, Chiara Costagli, Chosei Kaseda, Stefano Moro
1998 J jnl
Molecular Modeling Studies of Human A3 Adenosine Antagonists: Structural Homology and Receptor Docking.
J. Chem. Inf. Comput. Sci.
Stefano Moro, An-Hu Li, Kenneth A. Jacobson