Laura Scalvini

According to our database, Laura Scalvini authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Barriers and Challenges Toward the Servitization of the Machinery Sector: Evidence from Theory and Practice.

Marco Ardolino, Roberto Sala, Laura Scalvini, Syed Kazam Sajjad, Federico Adrodegari, Giuditta Pezzotta

Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024

2023

Molecular Determinants of EphA2 and EphB2 Antagonism Enable the Design of Ligands with Improved Selectivity.

Lorenzo Guidetti, Alfonso Zappia, Laura Scalvini, Francesca Romana Ferrari, Carmine Giorgio, Riccardo Castelli, Francesca Galvani, Federica Vacondio, Silvia Rivara, Marco Mor, Chiara Urbinati, Marco Rusnati, Massimiliano Tognolini, Alessio Lodola

J. Chem. Inf. Model., November, 2023

Unbinding Kinetics of Muscarinic M3 Receptor Antagonists Explained by Metadynamics Simulations.

Francesca Galvani, Daniele Pala, Alberto Cuzzolin, Laura Scalvini, Alessio Lodola, Marco Mor, Andrea Rizzi

J. Chem. Inf. Model., May, 2023

Mechanistic Modeling of Lys745 Sulfonylation in EGFR C797S Reveals Chemical Determinants for Inhibitor Activity and Discriminates Reversible from Irreversible Agents.

Kemel Arafet, Laura Scalvini, Francesca Galvani, Sergio Martí, Vicent Moliner, Marco Mor, Alessio Lodola

J. Chem. Inf. Model., February, 2023

Moving Towards Everything-as-a-Service: A Multiple Case Study in Manufacturing.

Laura Scalvini, Federico Adrodegari, Nicola Saccani

Proceedings of the Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures, 2023

2022

Mechanistic Modeling of Monoglyceride Lipase Covalent Modification Elucidates the Role of Leaving Group Expulsion and Discriminates Inhibitors with High and Low Potency.

Francesca Galvani, Laura Scalvini, Silvia Rivara, Alessio Lodola, Marco Mor

J. Chem. Inf. Model., 2022

Free-Energy Simulations Support a Lipophilic Binding Route for Melatonin Receptors.

Gian Marco Elisi, Laura Scalvini, Alessio Lodola, Marco Mor, Silvia Rivara

J. Chem. Inf. Model., 2022