Showing results (1-10 of 120) with videos related to

Sort By:
Pageof 12
Journal 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 Ballabio
Integrated 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.
Molecular Informatics|August 25, 2018
On the Misleading Use of <math></math> for QSAR Model ComparisonViviana Consonni, Roberto Todeschini, Davide Ballabio, et al.
Molecular Informatics|December 15, 2018
Integrated QSAR Models to Predict Acute Oral Systemic ToxicityDavide Ballabio, Francesca Grisoni, Viviana Consonni, et al.
Journal of Cheminformatics|March 26, 2024
Effectiveness of molecular fingerprints for exploring the chemical space of natural productsDavide Boldini, Davide Ballabio, Viviana Consonni, et al.
Frontiers in Chemistry|August 10, 2017
A QSTR-Based Expert System to Predict Sweetness of MoleculesCristian Rojas, Roberto Todeschini, Davide Ballabio, et al.
Integrated 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 Vighi
Methods in Molecular Biology (Clifton, N.J.)|October 19, 2018
Impact of Molecular Descriptors on Computational ModelsFrancesca Grisoni, Viviana Consonni, Roberto Todeschini
Pageof 12