Filip Miljković - Concepedia

Author

Filip Miljković

University of Bonn ORCID

Also Known As

Filip Miljkovic, Filip Miljković, Filip N. Miljković, Miljković, Filip

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

University of Bonn AstraZeneca (Sweden)AstraZeneca (United States)University of Sheffield

About

Filip Miljković is an author at University of Bonn specializing in drug discovery, medicine, and pharmacology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	11	11	505
2	Engineering	6	6	432
3	Biochemistry	4	4	55
4	Natural Sciences	3	3	41
5	Biomolecular Engineering	1	1	12

Filip Miljković

Publications

859

Citations

H-Index

Page 1

	Year	Citations
Interpretable bilinear attention network with domain adaptation improves drug–target prediction Peizhen Bai, Filip Miljković, Bino John, Nature Machine Intelligence Systems PharmacologyDrug RepositioningEngineeringMachine LearningDrug Target	2023	277
Machine Learning Models for Human <i>In Vivo</i> Pharmacokinetic Parameters with In-House Validation Filip Miljković, Anton Martinsson, Olga Obrezanova, Molecular Pharmaceutics	2021	86
QSAR models for HEPT derivates as NNRTI inhibitors based on Monte Carlo method Alla P. Toropova, Andrey A. Toropov, Jovana B. Veselinović, European Journal of Medicinal Chemistry Medicinal ChemistryQsar ModelsEngineeringMedicineMonte Carlo Method	2014	69
Prediction of In Vivo Pharmacokinetic Parameters and Time–Exposure Curves in Rats Using Machine Learning from the Chemical Structure Olga Obrezanova, Anton Martinsson, Samar Mahmoud, Molecular Pharmaceutics	2022	69
Machine Learning Models for Accurate Prediction of Kinase Inhibitors with Different Binding Modes Filip Miljković, Raquel Rodríguez-Pérez, Jürgen Bajorath Journal of Medicinal Chemistry	2019	57
Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature Maria‐Anna Trapotsi, Elizabeth Mouchet, Guy Williams, ACS Chemical Biology	2022	45
Computational Analysis of Kinase Inhibitors Identifies Promiscuity Cliffs across the Human Kinome Filip Miljković, Jürgen Bajorath ACS Omega Drug TargetEngineeringComputational AnalysisKinase InhibitorsMolecular Biology	2018	32
Prediction of Different Classes of Promiscuous and Nonpromiscuous Compounds Using Machine Learning and Nearest Neighbor Analysis Thomas Blaschke, Filip Miljković, Jürgen Bajorath ACS Omega	2019	27
Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction Peizhen Bai, Filip Miljković, Yan Ge, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Drug TargetEngineeringMachine LearningMachine Learning ToolPopular Dti Dataset	2021	27
Assessing the information content of structural and protein–ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and active learning Raquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath Journal of Cheminformatics	2020	22

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