Filip Miljković

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Molecular Dynamics

Convolutional Neural Network

Top Venues

Journal of chemical information and modeling

Molecular pharmaceutics

CPT: pharmacometrics & systems pharmacology

ACS chemical biology

This page only lists publications with an associated author ORCID identifier.

Publications

Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Vistoli Giulio, Thierry Langer, Filip Miljković, Johannes Kirchmair
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of chemical information and modeling 64 (2) (2024)
Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Vistoli Giulio, Thierry Langer, Filip Miljković, Johannes Kirchmair
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of chemical information and modeling 64 (2) (2024)
Filip Miljković, Jürgen Bajorath
Kinase Drug Discovery: Impact of Open Science and Artificial Intelligence. Molecular pharmaceutics (2024)
Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Vistoli Giulio, Thierry Langer, Filip Miljković, Johannes Kirchmair
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of chemical information and modeling 64 (2) (2024)
Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Vistoli Giulio, Thierry Langer, Filip Miljković, Johannes Kirchmair
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of chemical information and modeling (2024)
Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Vistoli Giulio, Thierry Langer, Filip Miljković, Johannes Kirchmair
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of chemical information and modeling 64 (2) (2024)
Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Vistoli Giulio, Thierry Langer, Filip Miljković, Johannes Kirchmair
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of chemical information and modeling 64 (2) (2024)
Elena Xerxa, Filip Miljković, Jürgen Bajorath
Data-Driven Global Assessment of Protein Kinase Inhibitors with Emphasis on Covalent Compounds. Journal of medicinal chemistry (2023)
Jaidip Gill, Marie Moullet, Anton Martinsson, Filip Miljković, Beth Williamson, Rosalinda H Arends, Venkatesh Pilla Reddy
Evaluating the performance of machine-learning regression models for pharmacokinetic drug-drug interactions. CPT: pharmacometrics & systems pharmacology (2022)
Maria-Anna Trapotsi, Elizabeth Mouchet, Guy Williams, Tiziana Monteverde, Karolina Juhani, Riku Turkki, Filip Miljković, Anton Martinsson, Lewis H Mervin, Kenneth R Pryde, Erik Müllers, Ian Barrett, Ola Engkvist, Andreas Bender, Kevin Moreau
Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature. ACS chemical biology 17 (7) (2022)
Andrés Martínez Mora, Vigneshwari Subramanian, Filip Miljković
Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular images. Journal of computer-aided molecular design 36 (6) (2022)
Jaidip Gill, Marie Moullet, Anton Martinsson, Filip Miljković, Beth Williamson, Rosalinda H Arends, Venkatesh Pilla Reddy
Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug-drug interaction prediction. CPT: pharmacometrics & systems pharmacology (2022)
Olga Obrezanova, Anton Martinsson, Tom Whitehead, Samar Mahmoud, Andreas Bender, Filip Miljković, Piotr Grabowski, Ben Irwin, Ioana Oprisiu, Gareth Conduit, Matthew D Segall, Graham F Smith, Beth Williamson, Susanne Winiwarter, Nigel Greene
Prediction of In Vivo Pharmacokinetic Parameters and Time-Exposure Curves in Rats Using Machine Learning from the Chemical Structure. Molecular pharmaceutics 19 (5) (2022)
Atsushi Yoshimori, Filip Miljković, Jürgen Bajorath
Approach for the Design of Covalent Protein Kinase Inhibitors via Focused Deep Generative Modeling. Molecules (Basel, Switzerland) 27 (2) (2022)
Filip Miljković, Anton Martinsson, Olga Obrezanova, Beth Williamson, Martin Johnson, Andy Sykes, Andreas Bender, Nigel Greene
Machine Learning Models for Human In Vivo Pharmacokinetic Parameters with In-House Validation. Molecular pharmaceutics 18 (12) (2021)
Filip Miljković, Raquel Rodríguez-Pérez, Jürgen Bajorath
Impact of Artificial Intelligence on Compound Discovery, Design, and Synthesis. ACS omega 6 (49) (2021)