GRISONI, FRANCESCA

GRISONI, FRANCESCA  

DIPARTIMENTO DI SCIENZA DEI MATERIALI  

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Titolo Tipologia Data di pubblicazione Autori File
CATMoS: Collaborative Acute Toxicity Modeling Suite 01 - Articolo su rivista 2021 Ballabio, DavideConsonni, VivianaGrisoni, FrancescaTodeschini, Roberto +
Predicting molecular activity on nuclear receptors with deep and machine learning 02 - Intervento a convegno 2021 Valsecchi,CGrisoni,FConsonni, VBallabio, DTodeschini, R
CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity 01 - Articolo su rivista 2020 Ballabio, DavideConsonni, VivianaGrisoni, FrancescaTodeschini, Roberto +
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study 01 - Articolo su rivista 2020 Valsecchi, CecileGrisoni, FrancescaConsonni, VivianaBallabio, Davide
Geographical identification of Chianti red wine based on ICP-MS element composition 01 - Articolo su rivista 2020 Ballabio, DavideTodeschini, RobertoConsonni, VivianaGrisoni, Francesca +
Acceptable-by-design QSARs to predict the dietary biomagnification of organic chemicals in fish 01 - Articolo su rivista 2019 Grisoni, FConsonni, VVighi, M
Consensus Prediction of Androgen Receptor Activity within the CoMPARA Project 02 - Intervento a convegno 2019 Ballabio, DValsecchi, CGrisoni, FConsonni, VTodeschini, R +
Deep Ranking Analysis by Kendall Eigenvectors (DRAKE): A Wizard for Ranking and Multi-Criteria Decision Making 02 - Intervento a convegno 2019 Todeschini, RGrisoni, FBallabio, D
Deep Ranking Analysis by Power Eigenvectors (DRAPE): A wizard for ranking and multi-criteria decision making 01 - Articolo su rivista 2019 Todeschini, RGrisoni, FBallabio, D
Integrated QSAR Models to Predict Acute Oral Systemic Toxicity 01 - Articolo su rivista 2019 Ballabio, DavideGrisoni, FrancescaConsonni, VivianaTodeschini, Roberto
Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project 01 - Articolo su rivista 2019 Grisoni, FrancescaConsonni, VivianaBallabio, Davide
On the Misleading Use of QF32 for QSAR Model Comparison 01 - Articolo su rivista 2019 Consonni, VTodeschini, RBallabio, DGrisoni, F
Structural alerts for the identification of bioaccumulative compounds 01 - Articolo su rivista 2019 Valsecchi, CGrisoni, FConsonni, VBallabio, D
Artificial intelligence driven de novo molecular design for nuclear receptor ligand discovery 02 - Intervento a convegno 2018 Grisoni, F +
Chemical profiling and multivariate data fusion methods for the identification of the botanical origin of honey 01 - Articolo su rivista 2018 Ballabio, DavideGrisoni, FrancescaGOSETTI, FABIOOrlandi, Marco +
Computer-Assisted Discovery of Retinoid X Receptor Modulating Natural Products and Isofunctional Mimetics 01 - Articolo su rivista 2018 Grisoni, F +
De Novo Design of Bioactive Small Molecules by Artificial Intelligence 01 - Articolo su rivista 2018 Grisoni, F +
Designing Anticancer Peptides by Constructive Machine Learning 01 - Articolo su rivista 2018 Grisoni, F +
Designing synthetically accessible natural product mimetics by machine learning 02 - Intervento a convegno 2018 Grisoni, F +
Detecting activity-rich structural regions by a new chemoinformatic approach: Mapping of Activity through Dichotomic Scores (MADS) 02 - Intervento a convegno 2018 Todeschini, RConsonni, VBallabio, DGrisoni, F