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International Journal of Molecular Sciences|September 7, 2019
Molecular Docking: Shifting Paradigms in Drug DiscoveryLuca Pinzi, Giulio RastelliInternational Journal of Molecular Sciences|November 25, 2023
Trends and Applications in Computationally Driven Drug RepurposingLuca Pinzi, Giulio RastelliFrontiers in Chemistry|July 30, 2019
Refinement and Rescoring of Virtual Screening ResultsGiulio Rastelli, Luca PinziJournal of Chemical Information and Modeling|December 5, 2019
Identification of Target Associations for Polypharmacology from Analysis of Crystallographic Ligands of the Protein Data BankLuca Pinzi, Giulio RastelliDrug Discovery Today|April 11, 2025
Selective imaging probes for differential detection of pathological tau polymorphs in tauopathiesNicolò Bisi, Luca Pinzi, Giulio RastelliJournal of Cheminformatics|March 7, 2021
Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification modelsAnnachiara Tinivella, Luca Pinzi, Giulio RastelliJournal of Cheminformatics|November 8, 2022
Development of machine learning classifiers to predict compound activity on prostate cancer cell linesDavide Bonanni, Luca Pinzi, Giulio RastelliMolecules (Basel, Switzerland)|August 27, 2021
Chemoinformatics Analyses of Tau Ligands Reveal Key Molecular Requirements for the Identification of Potential Drug Candidates against TauopathiesLuca Pinzi, Annachiara Tinivella, Giulio RastelliDrug Discovery Today|August 13, 2018
Selection of protein conformations for structure-based polypharmacology studiesLuca Pinzi, Fabiana Caporuscio, Giulio RastelliInternational Journal of Molecular Sciences|February 25, 2023
Identification of Promising Drug Candidates against Prostate Cancer through Computationally-Driven Drug RepurposingLeonardo Bernal, Luca Pinzi, Giulio RastelliPageof 10