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Massimo Baroni
Observed name:
M. Baroni
Observed institutions:
Uppsala University,
University of Perugia,
Siena Biotech (Italy),
Molecular Discovery (United Kingdom),
Heinrich Heine University Düsseldorf
ORCID:
0000-0003-0866-148X
Observed ORCID:
0000-0003-0866-148X
OpenAlex ID:
A5083725137
A Common Reference Framework for Analyzing/Comparing Proteins and Ligands. Fingerprints for Ligands And Proteins (FLAP): Theory and Application
2007
·
Massimo Baroni
, Gabriele Cruciani
, et al.
·
Journal of Chemical Information and Modeling
·
453
Generating Optimal Linear PLS Estimations (GOLPE): An Advanced Chemometric Tool for Handling 3D‐QSAR Problems
1993
·
Massimo Baroni
, Gabriele Costantino
, et al.
·
Quantitative Structure-Activity Relationships
·
378
Predictive ability of regression models. Part I: Standard deviation of prediction errors (SDEP)
1992
·
Gabriele Cruciani
, Massimo Baroni
, et al.
·
Journal of Chemometrics
·
137
Predictive ability of regression models. Part II: Selection of the best predictive PLS model
1992
·
Massimo Baroni
, Sergio Clementi
, et al.
·
Journal of Chemometrics
·
125
Indomethacin-based PROTACs as pan-coronavirus antiviral agents
2021
·
Jenny Desantis
, Beatrice Mercorelli
, et al.
·
European Journal of Medicinal Chemistry
·
102
PDF
FLAP: GRID Molecular Interaction Fields in Virtual Screening. Validation using the DUD Data Set
2010
·
Simon Cross
, Massimo Baroni
, et al.
·
Journal of Chemical Information and Modeling
·
102
BioGPS: Navigating biological space to predict polypharmacology, off-targeting, and selectivity
2015
·
Lydia Siragusa
, Simon Cross
, et al.
·
Proteins Structure Function and Bioinformatics
·
96
GRID-Based Three-Dimensional Pharmacophores I: FLAPpharm, a Novel Approach for Pharmacophore Elucidation
2012
·
Simon Cross
, Massimo Baroni
, et al.
·
Journal of Chemical Information and Modeling
·
92
High-Throughput Virtual Screening of Proteins Using GRID Molecular Interaction Fields
2009
·
Simone Sciabola
, Robert V. Stanton
, et al.
·
Journal of Chemical Information and Modeling
·
82
D‐Optimal Designs in QSAR
1993
·
Massimo Baroni
, Sergio Clementi
, et al.
·
Quantitative Structure-Activity Relationships
·
79
Analytical and computational workflow for in-depth analysis of oxidized complex lipids in blood plasma
2022
·
Angela Criscuolo
, Palina Nepachalovich
, et al.
·
Nature Communications
·
73
PDF
A Pipeline To Enhance Ligand Virtual Screening: Integrating Molecular Dynamics and Fingerprints for Ligand and Proteins
2015
·
Francesca Spyrakis
, Paolo Benedetti
, et al.
·
Journal of Chemical Information and Modeling
·
72
PDF
Peptide studies by means of principal properties of amino acids derived from MIF descriptors
2004
·
Gabriele Cruciani
, Massimo Baroni
, et al.
·
Journal of Chemometrics
·
70
Conformer- and Alignment-Independent Model for Predicting Structurally Diverse Competitive CYP2C9 Inhibitors
2004
·
Lovisa Afzelius
, Ismael Zamora
, et al.
·
Journal of Medicinal Chemistry
·
54
Virtual Screening for Novel Openers of Pancreatic KATP Channels
2007
·
Emanuele Carosati
, Raimund Mannhold
, et al.
·
Journal of Medicinal Chemistry
·
47
From Experiments to a Fast Easy-to-Use Computational Methodology to Predict Human Aldehyde Oxidase Selectivity and Metabolic Reactions
2017
·
Gabriele Cruciani
, Nicolò Milani
, et al.
·
Journal of Medicinal Chemistry
·
46
PDF
Exposition and reactivity optimization to predict sites of metabolism in chemicals
2012
·
Gabriele Cruciani
, Massimo Baroni
, et al.
·
Drug Discovery Today Technologies
·
46
Comparison of Ligand-Based and Structure-Based 3D-QSAR Approaches: A Case Study on (Aryl-)Bridged 2-Aminobenzonitriles Inhibiting HIV-1 Reverse Transcriptase
2005
·
Simone Sciabola
, Emanuele Carosati
, et al.
·
Journal of Medicinal Chemistry
·
45
Flavin Monooxygenase Metabolism: Why Medicinal Chemists Should Matter
2014
·
Gabriele Cruciani
, Aurora Valeri
, et al.
·
Journal of Medicinal Chemistry
·
42
GRID-Based Three-Dimensional Pharmacophores II: PharmBench, a Benchmark Data Set for Evaluating Pharmacophore Elucidation Methods
2012
·
Simon Cross
, Francesco Ortuso
, et al.
·
Journal of Chemical Information and Modeling
·
41
Chemometric Studies on the Bactericidal Activity of Quinolones via an Extended VolSurf Approach
2004
·
Giovanni Cianchetta
, Raimund Mannhold
, et al.
·
Journal of Medicinal Chemistry
·
40
Comparison of Chemometric Models for QSAR
1990
·
Gabriele Cruciani
, Massimo Baroni
, et al.
·
Quantitative Structure-Activity Relationships
·
35
Principal component analysis of some oxidative stress parameters and their relationships in hemodialytic and transplanted patients
2005
·
F. Antolini
, F. Valente
, et al.
·
Clinica Chimica Acta
·
31
Targeting the Conformational Transitions of MDM2 and MDMX: Insights into Dissimilarities and Similarities of p53 Recognition
2008
·
Antonio Macchiarulo
, Nicola Giacchè
, et al.
·
Journal of Chemical Information and Modeling
·
29
Novel TOPP descriptors in 3D-QSAR analysis of apoptosis inducing 4-aryl-4H-chromenes: Comparison versus other 2D- and 3D-descriptors
2007
·
Simone Sciabola
, Emanuele Carosati
, et al.
·
Bioorganic & Medicinal Chemistry
·
28
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Works count:
62
Citation count:
2,613
H-index:
26
I10-index:
37
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