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Methods in Molecular Biology (Clifton, N.J.)|November 3, 2021
De Novo Molecular Design with Chemical Language ModelsFrancesca Grisoni, Gisbert SchneiderJournal of Chemical Information and Modeling|January 23, 2019
Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA ProjectFrancesca Grisoni, Viviana Consonni, Davide BallabioJournal of Chemical Information and Modeling|September 17, 2016
Beware of Unreliable Q2! A Comparative Study of Regression Metrics for Predictivity Assessment of QSAR ModelsRoberto Todeschini, Davide Ballabio, Francesca GrisoniJournal of Chemical Information and Modeling|June 2, 2026
Beyond Molecular Structures: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction ModelsMateusz Iwan, Alessandra Roncaglioni, Francesca GrisoniIntegrated Environmental Assessment and Management|November 18, 2018
Acceptable-by-design QSARs to predict the dietary biomagnification of organic chemicals in fishFrancesca Grisoni, Viviana Consonni, Marco VighiMethods in Molecular Biology (Clifton, N.J.)|October 19, 2018
Impact of Molecular Descriptors on Computational ModelsFrancesca Grisoni, Viviana Consonni, Roberto TodeschiniChemosphere|June 8, 2018
Detecting the bioaccumulation patterns of chemicals through data-driven approachesFrancesca Grisoni, Viviana Consonni, Marco VighiIntegrated Environmental Assessment and Management|July 20, 2018
Structural alerts for the identification of bioaccumulative compoundsCecile Valsecchi, Francesca Grisoni, Viviana Consonni, et al.Methods in Molecular Biology (Clifton, N.J.)|June 24, 2018
Molecular Descriptors for Structure-Activity Applications: A Hands-On ApproachFrancesca Grisoni, Davide Ballabio, Roberto Todeschini, et al.Journal of Chemical Information and Modeling|February 20, 2020
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case StudyCecile Valsecchi, Francesca Grisoni, Viviana Consonni, et al.Pageof 8