A. Mazzolari

发表

MetaQSAR: An Integrated Database Engine to Manage and Analyze Metabolic Data.

B. Testa, G. Vistoli, A. Pedretti, 2017, Journal of medicinal chemistry.

Enhancing the Reliability of GPCR Models by Accounting for Flexibility of Their Pro‐Containing Helices: the Case of the Human mAChR1 Receptor

G. Vistoli, A. Pedretti, A. Mazzolari, 2015, Molecular informatics.

The replacement of the 2-methoxy substituent of N-((6,6-diphenyl-1,4-dioxan-2-yl)methyl)-2-(2-methoxyphenoxy)ethan-1-amine improves the selectivity for 5-HT1A receptor over α1-adrenoceptor and D2-like receptor subtypes.

A. Cilia, R. Matucci, G. Vistoli, 2017, European journal of medicinal chemistry.

Carbachol dimers with primary carbamate groups as homobivalent modulators of muscarinic receptors.

R. Matucci, K. Mohr, G. Vistoli, 2020, European journal of pharmacology.

GLORYx: Prediction of the Metabolites Resulting from Phase 1 and Phase 2 Biotransformations of Xenobiotics

J. Kirchmair, A. Mazzolari, Christina de Bruyn Kops, 2020, Chemical research in toxicology.

Towards the mode of action of Strobilanthes crispus through integrated computational and experimental analyses

Lewis H. Mervin, A. Bender, A. Mazzolari, 2017, Journal of Plant Biochemistry and Biotechnology.

Unveiling the molecular mechanisms underpinning biorecognition of early-glycated human serum albumin and receptor for advanced glycation end products

M. Bartolini, M. Naldi, G. Aldini, 2020, Analytical and Bioanalytical Chemistry.

Serum albumin as a probe for testing the selectivity of irreversible cysteine protease inhibitors: The case of vinyl sulfones.

G. Vistoli, L. Regazzoni, M. Carini, 2016, Journal of pharmaceutical and biomedical analysis.

Hempseed (Cannabis sativa) Peptide H3 (IGFLIIWV) Exerts Cholesterol-Lowering Effects in Human Hepatic Cell Line

G. Vistoli, A. Mazzolari, C. Lammi, 2022, Nutrients.

Improvement of Topical Palmitoylethanolamide Anti-Inflammatory Activity by Pegylated Prodrugs.

G. Vistoli, R. Russo, S. Laneri, 2015, Molecular pharmaceutics.

Ficus carica

A. Mazzolari, Giovanna Nicotra, S. Vicentini, 2010 .

Repositioning Dequalinium as Potent Muscarinic Allosteric Ligand by Combining Virtual Screening Campaigns and Experimental Binding Assays

R. Matucci, G. Vistoli, A. Pedretti, 2020, International journal of molecular sciences.

Mode of interaction of 1,4-dioxane agonists at the M2 and M3 muscarinic receptor orthosteric sites.

R. Matucci, G. Vistoli, Alessandro Bonifazi, 2014, Bioorganic & medicinal chemistry letters.

Cyclo(His-Pro) Exerts Protective Carbonyl Quenching Effects through Its Open Histidine Containing Dipeptides

G. Aldini, G. Vistoli, E. Gilardoni, 2022, Nutrients.

Computational approaches in the rational design of improved carbonyl quenchers: focus on histidine containing dipeptides.

G. Aldini, G. Vistoli, A. Pedretti, 2016, Future medicinal chemistry.

Homology modeling and metabolism prediction of human carboxylesterase-2 using docking analyses by GriDock: a parallelized tool based on AutoDock 4.0

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2010, J. Comput. Aided Mol. Des..

In silico prediction of human carboxylesterase-1 (hCES1) metabolism combining docking analyses and MD simulations.

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2010, Bioorganic & medicinal chemistry.

Structural Effects of Some Relevant Missense Mutations on the MECP2‐DNA Binding: A MD Study Analyzed by Rescore+, a Versatile Rescoring Tool of the VEGA ZZ Program

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2016, Molecular informatics.

Binding Space Concept: A New Approach To Enhance the Reliability of Docking Scores and Its Application to Predicting Butyrylcholinesterase Hydrolytic Activity

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2017, J. Chem. Inf. Model..

A capture method based on the VC1 domain reveals new binding properties of the human receptor for advanced glycation end products (RAGE)

G. Aldini, G. Vistoli, A. Altomare, 2016, Redox biology.

Obesity and Type 2 Diabetes: Adiposopathy as a Triggering Factor and Therapeutic Options

G. Vistoli, A. Pedretti, A. Mazzolari, 2023, Molecules.

The (Re)-Evolution of Quantitative Structure-Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods

T. Soares, Fiorella Ruggiu, K. Merz, 2022, J. Chem. Inf. Model..

Prediction of the Formation of Reactive Metabolites by A Novel Classifier Approach Based on Enrichment Factor Optimization (EFO) as Implemented in the VEGA Program

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2018, Molecules.

Influence of Ionization State on the Activation of Temocapril by hCES1: A Molecular‐Dynamics Study

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2009, Chemistry & biodiversity.

The VEGA suite of programs: an versatile platform for cheminformatics and drug design projects

Alessandro Pedretti, Angelica Mazzolari, Silvia Gervasoni, 2020, Bioinform..

MetaClass, a Comprehensive Classification System for Predicting the Occurrence of Metabolic Reactions Based on the MetaQSAR Database

G. Vistoli, A. Pedretti, A. Mazzolari, 2021, Molecules.

Towards the mode of action of Strobilanthes crispus through integrated computational and experimental analyses

Lewis H. Mervin, A. Bender, A. Mazzolari, 2017, Journal of Plant Biochemistry and Biotechnology.

Approaching Pharmacological Space: Events and Components.

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2018, Methods in molecular biology.

Quenching activity of carnosine derivatives towards reactive carbonyl species: Focus on α-(methylglyoxal) and β-(malondialdehyde) dicarbonyls.

G. Aldini, G. Vistoli, E. Gilardoni, 2017, Biochemical and biophysical research communications.

Carbachol dimers as homobivalent modulators of muscarinic receptors.

R. Matucci, G. Vistoli, S. Dei, 2016, Biochemical pharmacology.

VEGA ZZ : a versatile toolkit for drug design and protein modelling

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2008 .

FAME 3: Predicting the Sites of Metabolism in Synthetic Compounds and Natural Products for Phase 1 and Phase 2 Metabolic Enzymes

Daniel Svozil, Alessandro Pedretti, Johannes Kirchmair, 2019, J. Chem. Inf. Model..

Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR Database.

Andreas Bender, Avid M Afzal, Avid M. Afzal, 2019, ACS medicinal chemistry letters.

MetaTREE, a Novel Database Focused on Metabolic Trees, Predicts an Important Detoxification Mechanism: The Glutathione Conjugation

G. Vistoli, A. Pedretti, A. Mazzolari, 2021, Molecules.

Tree2C: A Flexible Tool for Enabling Model Deployment with Special Focus on Cheminformatics Applications

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2020, Applied Sciences.

Rescoring and Linearly Combining: A Highly Effective Consensus Strategy for Virtual Screening Campaigns

Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, 2019, International journal of molecular sciences.