Gabriele Cruciani

Orcid: 0000-0002-4162-8692

According to our database1, Gabriele Cruciani authored at least 22 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DeepGRID: Deep Learning Using GRID Descriptors for BBB Prediction.
J. Chem. Inf. Model., September, 2023

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

FragExplorer: GRID-Based Fragment Growing and Replacement.
J. Chem. Inf. Model., 2022

2021
Combining machine learning and quantum mechanics yields more chemically aware molecular descriptors for medicinal chemistry applications.
J. Comput. Chem., 2021

Cover Image.
J. Comput. Chem., 2021

2019
How computational chemistry develops: a tribute to Peter Goodford.
J. Comput. Aided Mol. Des., 2019

2017
Detecting similar binding pockets to enable systems polypharmacology.
PLoS Comput. Biol., 2017

2015
A Pipeline To Enhance Ligand Virtual Screening: Integrating Molecular Dynamics and Fingerprints for Ligand and Proteins.
J. Chem. Inf. Model., 2015

2013
Modeling Phospholipidosis Induction: Reliability and Warnings.
J. Chem. Inf. Model., 2013

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

2009
Tautomer Enumeration and Stability Prediction for Virtual Screening on Large Chemical Databases.
J. Chem. Inf. Model., 2009

2008
Targeting the Conformational Transitions of MDM2 and MDMX: Insights into Dissimilarities and Similarities of p53 Recognition.
J. Chem. Inf. Model., 2008

2007
New and Original p<i>K</i><sub>a</sub> Prediction Method Using Grid Molecular Interaction Fields.
J. Chem. Inf. Model., 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

2004
GRIND-derived pharmacophore model for a series of α-tropanyl derivative ligands of the sigma-2 receptor<sup>*</sup>.
J. Comput. Aided Mol. Des., 2004

2001
QSAR study and VolSurf characterization of anti-HIV quinolone library.
J. Comput. Aided Mol. Des., 2001

2000
3D-QSAR methods on the basis of ligand-receptor complexes. Application of COMBINE and GRID/GOLPE methodologies to a series of CYP1A2 ligands.
J. Comput. Aided Mol. Des., 2000


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