MAZZOLARI, ANGELICA
MAZZOLARI, ANGELICA
Dipartimento di Scienze Farmaceutiche
An improved dataset of force fields, electronic and physicochemical descriptors of metabolic substrates
2024 A. Macorano, A. Mazzolari, G. Malloci, A. Pedretti, G. Vistoli, S. Gervasoni
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation
2024 Y. Chen, T. Seidel, R.A. Jacob, S. Hirte, A. Mazzolari, A. Pedretti, G. Vistoli, T. Langer, F. Miljkovic, J. Kirchmair
MetaSpot: A General Approach for Recognizing the Reactive Atoms Undergoing Metabolic Reactions Based on the MetaQSAR Database
2023 A. Mazzolari, P. Perazzoni, E. Sabato, F. Lunghini, A.R. Beccari, G. Vistoli, A. Pedretti
Obesity and Type 2 Diabetes: Adiposopathy as a Triggering Factor and Therapeutic Options
2023 A. Artasensi, A. Mazzolari, A. Pedretti, G. Vistoli, L. Fumagalli
The VEGA web service: multipurpose online tools for molecular modelling and docking analyses
2023 A. Pedretti, S. Vittorio, E. Sabato, G. Vistoli, A. Mazzolari
Hempseed (Cannabis sativa) Peptide H3 (IGFLIIWV) Exerts Cholesterol-Lowering Effects in Human Hepatic Cell Line
2022 J. Li, C. Bollati, M. Bartolomei, A. Mazzolari, A. Arnoldi, G. Vistoli, C. Lammi
Cyclo(His-Pro) Exerts Protective Carbonyl Quenching Effects through Its Open Histidine Containing Dipeptides
2022 L. Regazzoni, L. Fumagalli, A. Artasensi, S. Gervasoni, E. Gilardoni, A. Mazzolari, G. Aldini, G. Vistoli
MetaClass, a comprehensive classification system for predicting the occurrence of metabolic reactions based on the MetaQSAR database
2021 A. Mazzolari, A. Scaccabarozzi, G. Vistoli, A. Pedretti
GLORYx : Prediction of the metabolites resulting from phase 1 and phase 2 biotransformations of xenobiotics
2021 C. de Bruyn Kops, M. Sicho, A. Mazzolari, J. Kirchmair
The VEGA suite of programs: a versatile platform for cheminformatics and drug design projects
2021 A. Pedretti, A. Mazzolari, S. Gervasoni, L. Fumagalli, G. Vistoli
MetaTREE, a novel database focused on metabolic trees, predicts an important detoxification mechanism : The glutathione conjugation
2021 A. Mazzolari, L. Sommaruga, A. Pedretti, G. Vistoli
Repositioning dequalinium as potent muscarinic allosteric ligand by combining virtual screening campaigns and experimental binding assays
2020 A. Mazzolari, S. Gervasoni, A. Pedretti, L. Fumagalli, R. Matucci, G. Vistoli
Carbachol dimers with primary carbamate groups as homobivalent modulators of muscarinic receptors
2020 R. Matucci, C. Bellucci, M.V. Martino, M. Nesi, D. Manetti, J. Welzel, U. Bartz, J. Holze, C. Tränkle, K. Mohr, A. Mazzolari, G. Vistoli, S. Dei, E. Teodori, M.N. Romanelli
Unveiling the molecular mechanisms underpinning biorecognition of early-glycated human serum albumin and receptor for advanced glycation end products
2020 A. Tramarin, M. Naldi, G. Degani, L. Lupu, P. Wiegand, A. Mazzolari, A. Altomare, G. Aldini, L. Popolo, G. Vistoli, M. Przybylski, M. Bartolini
What Makes a Paper Be Highly Cited? 60 Years of the Journal of Chemical Information and Modeling
2020 A. Nunes-Alves, A. Mazzolari, K.M. Merz
Impact of the Journal of Chemical Information and Modeling Special Issue on Women in Computational Chemistry
2020 A. Mazzolari, A. Nunes-Alves, H.A. Wahab, R.E. Amaro, Z. Cournia, K.M. Merz
Tree2c: A flexible tool for enabling model deployment with special focus on cheminformatics applications
2020 A. Pedretti, A. Mazzolari, S. Gervasoni, G. Vistoli
Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR Database
2019 A. Mazzolari, A.M. Afzal, A. Pedretti, B. Testa, G. Vistoli, A. Bender
Rescoring and Linearly Combining: a Highly Effective Consensus Strategy for Virtual Screening Campaigns
2019 A. Pedretti, A. Mazzolari, S. Gervasoni, G. Vistoli
FAME 3 : Predicting the Sites of Metabolism in Synthetic Compounds and Natural Products for Phase 1 and Phase 2 Metabolic Enzymes
2019 M. Sicho, C. Stork, A. Mazzolari, C. De Bruyn Kops, A. Pedretti, B. Testa, G. Vistoli, D. Svozil, J. Kirchmair