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Filip Miljković

Showing results (11-20 of 35) with videos related to

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Molecules (Basel, Switzerland)|January 21, 2022
Approach for the Design of Covalent Protein Kinase Inhibitors via Focused Deep Generative ModelingAtsushi Yoshimori, Filip Miljković, Jürgen Bajorath
ACS Omega|December 20, 2021
Impact of Artificial Intelligence on Compound Discovery, Design, and SynthesisFilip Miljković, Raquel Rodríguez-Pérez, Jürgen Bajorath
Annual Review of Biomedical Data Science|April 20, 2022
Machine Learning in Chemoinformatics and Medicinal ChemistryRaquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
Journal of Medicinal Chemistry|August 31, 2019
Machine Learning Models for Accurate Prediction of Kinase Inhibitors with Different Binding ModesFilip Miljković, Raquel Rodríguez-Pérez, Jürgen Bajorath
Journal of Computer-Aided Molecular Design|May 26, 2022
Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular imagesAndrés Martínez Mora, Vigneshwari Subramanian, Filip Miljković
Journal of Cheminformatics|January 12, 2021
Assessing the information content of structural and protein-ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and active learningRaquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
European Journal of Medicinal Chemistry|February 4, 2021
Systematic comparison of competitive and allosteric kinase inhibitors reveals common structural characteristicsHuabin Hu, Oliver Laufkötter, Filip Miljković, et al.
Molecular Pharmaceutics|June 18, 2026
Computational Identification of Active Drug Metabolites for Human Protein TargetsSofia Larsson, Rocío Mercado, Susanne Winiwarter, et al.
Journal of Medicinal Chemistry|January 21, 2021
Structure- and Similarity-Based Survey of Allosteric Kinase Inhibitors, Activators, and Closely Related CompoundsOliver Laufkötter, Huabin Hu, Filip Miljković, et al.
Data in Brief|February 19, 2021
Data set of competitive and allosteric protein kinase inhibitors confirmed by X-ray crystallographyHuabin Hu, Oliver Laufkötter, Filip Miljković, et al.
Pageof 4

Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
Molecules (Basel, Switzerland)|January 21, 2022
Approach for the Design of Covalent Protein Kinase Inhibitors via Focused Deep Generative ModelingAtsushi Yoshimori, Filip Miljković, Jürgen Bajorath
ACS Omega|December 20, 2021
Impact of Artificial Intelligence on Compound Discovery, Design, and SynthesisFilip Miljković, Raquel Rodríguez-Pérez, Jürgen Bajorath
Annual Review of Biomedical Data Science|April 20, 2022
Machine Learning in Chemoinformatics and Medicinal ChemistryRaquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
Journal of Medicinal Chemistry|August 31, 2019
Machine Learning Models for Accurate Prediction of Kinase Inhibitors with Different Binding ModesFilip Miljković, Raquel Rodríguez-Pérez, Jürgen Bajorath
Journal of Computer-Aided Molecular Design|May 26, 2022
Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular imagesAndrés Martínez Mora, Vigneshwari Subramanian, Filip Miljković
Journal of Cheminformatics|January 12, 2021
Assessing the information content of structural and protein-ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and active learningRaquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
European Journal of Medicinal Chemistry|February 4, 2021
Systematic comparison of competitive and allosteric kinase inhibitors reveals common structural characteristicsHuabin Hu, Oliver Laufkötter, Filip Miljković, et al.
Molecular Pharmaceutics|June 18, 2026
Computational Identification of Active Drug Metabolites for Human Protein TargetsSofia Larsson, Rocío Mercado, Susanne Winiwarter, et al.
Journal of Medicinal Chemistry|January 21, 2021
Structure- and Similarity-Based Survey of Allosteric Kinase Inhibitors, Activators, and Closely Related CompoundsOliver Laufkötter, Huabin Hu, Filip Miljković, et al.
Data in Brief|February 19, 2021
Data set of competitive and allosteric protein kinase inhibitors confirmed by X-ray crystallographyHuabin Hu, Oliver Laufkötter, Filip Miljković, et al.
Pageof 4