Stefano Moro
Orcid: 0000-0002-7514-3802
According to our database1,
Stefano Moro
authored at least 28 papers
between 1998 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Fighting Antimicrobial Resistance: Insights on How the <i>Staphylococcus aureus</i> NorA Efflux Pump Recognizes 2-Phenylquinoline Inhibitors by Supervised Molecular Dynamics (SuMD) and Molecular Docking Simulations.
J. Chem. Inf. Model., August, 2023
Uav-Borne Bistatic Sar and Insar Experiments in Support of STV and SDC Target Observables.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Qualitative Estimation of Protein-Ligand Complex Stability through Thermal Titration Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2022
Experimental UAV-Aided RSSI Localization of a Ground RF Emitter in 865 MHz and 2.4 GHz Bands.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
2020
J. Chem. Inf. Model., 2020
J. Chem. Inf. Model., 2020
2018
Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2.
J. Comput. Aided Mol. Des., 2018
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., 2018
2016
Deciphering the Complexity of Ligand-Protein Recognition Pathways Using Supervised Molecular Dynamics (SuMD) Simulations.
J. Chem. Inf. Model., 2016
DockBench as docking selector tool: the lesson learned from D3R Grand Challenge 2015.
J. Comput. Aided Mol. Des., 2016
2015
Modeling ligand recognition at the P2Y12 receptor in light of X-ray structural information.
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.
J. Chem. Inf. Model., 2014
Perturbation of Fluid Dynamics Properties of Water Molecules during G Protein-Coupled Receptor-Ligand Recognition: The Human A<sub>2A</sub> Adenosine Receptor as a Key Study.
J. Chem. Inf. Model., 2014
Bridging Molecular Docking to Membrane Molecular Dynamics To Investigate GPCR-Ligand Recognition: The Human A<sub>2A</sub> Adenosine Receptor as a Key Study.
J. Chem. Inf. Model., 2014
Alternative Quality Assessment Strategy to Compare Performances of GPCR-Ligand Docking Protocols: The Human Adenosine A<sub>2A</sub> Receptor as a Case Study.
J. Chem. Inf. Model., 2014
2013
Revisiting a Receptor-Based Pharmacophore Hypothesis for Human A<sub>2A</sub> Adenosine Receptor Antagonists.
J. Chem. Inf. Model., 2013
2011
Nucleic Acids Res., 2011
2010
2009
Comparison of Multilabel and Single-Label Classification Applied to the Prediction of the Isoform Specificity of Cytochrome P450 Substrates.
J. Chem. Inf. Model., 2009
Exploring Potency and Selectivity Receptor Antagonist Profiles Using a Multilabel Classification Approach: The Human Adenosine Receptors as a Key Study.
J. Chem. Inf. Model., 2009
Proceedings of the Artificial Neural Networks, 2009
2008
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<sub>2A</sub> Receptor.
J. Chem. Inf. Model., 2008
Proceedings of the International Conference on Biocomputation, 2008
2007
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., 2007
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., 2007
1998
Molecular Modeling Studies of Human A3 Adenosine Antagonists: Structural Homology and Receptor Docking.
J. Chem. Inf. Comput. Sci., 1998