Massimo Baroni
Orcid: 0000-0003-0866-148X
According to our database1,
Massimo Baroni
authored at least 12 papers
between 2007 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein Screening.
J. Chem. Inf. Model., 2022
Getting Insights into Structural and Energetic Properties of Reciprocal Peptide-Protein Interactions.
J. Chem. Inf. Model., 2022
CROMATIC: <i>Cro</i>ss-Relationship <i>Ma</i>p of Cavi<i>ti</i>es from <i>C</i>oronaviruses.
J. Chem. Inf. Model., 2022
2019
First virtual screening and experimental validation of inhibitors targeting GES-5 carbapenemase.
J. Comput. Aided Mol. Des., 2019
2015
A Pipeline To Enhance Ligand Virtual Screening: Integrating Molecular Dynamics and Fingerprints for Ligand and Proteins.
J. Chem. Inf. Model., 2015
2012
GRID-Based Three-Dimensional Pharmacophores II: PharmBench, a Benchmark Data Set for Evaluating Pharmacophore Elucidation Methods.
J. Chem. Inf. Model., 2012
GRID-Based Three-Dimensional Pharmacophores I: FLAPpharm, a Novel Approach for Pharmacophore Elucidation.
J. Chem. Inf. Model., 2012
2010
High-Throughput Virtual Screening of Proteins Using GRID Molecular Interaction Fields.
J. Chem. Inf. Model., 2010
Molecular Interaction Fields and 3D-QSAR Studies of p53-MDM2 Inhibitors Suggest Additional Features of Ligand-Target Interaction.
J. Chem. Inf. Model., 2010
FLAP: GRID Molecular Interaction Fields in Virtual Screening. Validation using the DUD Data Set.
J. Chem. Inf. Model., 2010
2008
Targeting the Conformational Transitions of MDM2 and MDMX: Insights into Dissimilarities and Similarities of p53 Recognition.
J. Chem. Inf. Model., 2008
2007
A Common Reference Framework for Analyzing/Comparing Proteins and Ligands. Fingerprints for Ligands And Proteins (FLAP): Theory and Application.
J. Chem. Inf. Model., 2007