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Elena Xerxa

Showing results (1-10 of 13) with videos related to

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European Journal of Medicinal Chemistry|April 18, 2024
Data-oriented protein kinase drug discoveryElena Xerxa, Jürgen Bajorath
Future Science OA|September 27, 2023
Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitorsElena Xerxa, Jürgen Bajorath
Journal of Chemical Information and Modeling|December 10, 2024
Influence of Data Curation and Confidence Levels on Compound Predictions Using Machine Learning ModelsElena Xerxa, Martin Vogt, Jürgen Bajorath
Journal of Medicinal Chemistry|May 22, 2023
Data-Driven Global Assessment of Protein Kinase Inhibitors with Emphasis on Covalent CompoundsElena Xerxa, Filip Miljković, Jürgen Bajorath
Molecules (Basel, Switzerland)|August 12, 2023
Systematic Analysis of Covalent and Allosteric Protein Kinase InhibitorsElena Xerxa, Oliver Laufkötter, Jürgen Bajorath
Journal of Medicinal Chemistry|September 25, 2024
Assessing Darkness of the Human Kinome from a Medicinal Chemistry PerspectiveSelina Voßen, Elena Xerxa, Jürgen Bajorath
Biomolecules|March 28, 2024
Comprehensive Data-Driven Assessment of Non-Kinase Targets of Inhibitors of the Human KinomeMona Mobasher, Martin Vogt, Elena Xerxa, et al.
Cellular and Molecular Neurobiology|April 3, 2020
NMDA Receptor and L-Type Calcium Channel Modulate Prion FormationMarco Zattoni, Chiara Garrovo, Elena Xerxa, et al.
IEEE Computer Graphics and Applications|May 27, 2026
From Prediction to Insight: Visual Analytics for Understanding Compound Potency ModelsBahavathy Kathirgamanathan, Tiago Janela, Elena Xerxa, et al.
Plos One|April 14, 2016
Whole Blood Gene Expression Profiling in Preclinical and Clinical Cattle Infected with Atypical Bovine Spongiform EncephalopathyElena Xerxa, Maura Barbisin, Maria Novella Chieppa, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
European Journal of Medicinal Chemistry|April 18, 2024
Data-oriented protein kinase drug discoveryElena Xerxa, Jürgen Bajorath
Future Science OA|September 27, 2023
Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitorsElena Xerxa, Jürgen Bajorath
Journal of Chemical Information and Modeling|December 10, 2024
Influence of Data Curation and Confidence Levels on Compound Predictions Using Machine Learning ModelsElena Xerxa, Martin Vogt, Jürgen Bajorath
Journal of Medicinal Chemistry|May 22, 2023
Data-Driven Global Assessment of Protein Kinase Inhibitors with Emphasis on Covalent CompoundsElena Xerxa, Filip Miljković, Jürgen Bajorath
Molecules (Basel, Switzerland)|August 12, 2023
Systematic Analysis of Covalent and Allosteric Protein Kinase InhibitorsElena Xerxa, Oliver Laufkötter, Jürgen Bajorath
Journal of Medicinal Chemistry|September 25, 2024
Assessing Darkness of the Human Kinome from a Medicinal Chemistry PerspectiveSelina Voßen, Elena Xerxa, Jürgen Bajorath
Biomolecules|March 28, 2024
Comprehensive Data-Driven Assessment of Non-Kinase Targets of Inhibitors of the Human KinomeMona Mobasher, Martin Vogt, Elena Xerxa, et al.
Cellular and Molecular Neurobiology|April 3, 2020
NMDA Receptor and L-Type Calcium Channel Modulate Prion FormationMarco Zattoni, Chiara Garrovo, Elena Xerxa, et al.
IEEE Computer Graphics and Applications|May 27, 2026
From Prediction to Insight: Visual Analytics for Understanding Compound Potency ModelsBahavathy Kathirgamanathan, Tiago Janela, Elena Xerxa, et al.
Plos One|April 14, 2016
Whole Blood Gene Expression Profiling in Preclinical and Clinical Cattle Infected with Atypical Bovine Spongiform EncephalopathyElena Xerxa, Maura Barbisin, Maria Novella Chieppa, et al.
Pageof 2