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Miljković, Filip
119
results:
Search for persons
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Format
Online (119)
Mediatypes
Articles (Online) (50)
OpenAccess-fulltext (68)
Thesis (Online) (1)
Languages
english (100)
Sorted by: Relevance
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?
1
Active Learning Approach for Guiding Site-of-Metabolism Mea..:
Chen, Ya
;
Seidel, Thomas
;
Jacob, Roxane Axel
...
Journal of Chemical Information and Modeling. 64 (2024) 2 - p. 348-358 , 2024
Link:
https://doi.org/10.1021/..
?
2
Artificial intelligence-open science symbiosis in chemoinfo..:
Miljković, Filip
;
Medina-Franco, José L.
Artificial Intelligence in the Life Sciences. 5 (2024) - p. 100096 , 2024
Link:
https://doi.org/10.1016/..
?
3
Interpretable bilinear attention network with domain adapta..:
Bai, Peizhen
;
Miljković, Filip
;
John, Bino
.
Nature Machine Intelligence. 5 (2023) 2 - p. 126-136 , 2023
Link:
https://doi.org/10.1038/..
?
4
First-generation themed article collections:
Bajorath, Jürgen
;
Gardner, Steve
;
Grisoni, Francesca
...
Artificial Intelligence in the Life Sciences. 4 (2023) - p. 100088 , 2023
Link:
https://doi.org/10.1016/..
?
5
Data-Driven Global Assessment of Protein Kinase Inhibitors ..:
Xerxa, Elena
;
Miljković, Filip
;
Bajorath, Jürgen
Journal of Medicinal Chemistry. 66 (2023) 11 - p. 7657-7665 , 2023
Link:
https://doi.org/10.1021/..
?
6
Evaluating the performance of machine‐learning regression m..:
Gill, Jaidip
;
Moullet, Marie
;
Martinsson, Anton
...
CPT: Pharmacometrics & Systems Pharmacology. 12 (2022) 1 - p. 122-134 , 2022
Link:
https://doi.org/10.1002/..
?
7
Interpretation of multi-task clearance models from molecula..:
Martínez Mora, Andrés
;
Mogemark, Mickael
;
Subramanian, Vigneshwari
.
Artificial Intelligence in the Life Sciences. 2 (2022) - p. 100048 , 2022
Link:
https://doi.org/10.1016/..
?
8
Multi-task convolutional neural networks for predicting in ..:
Martínez Mora, Andrés
;
Subramanian, Vigneshwari
;
Miljković, Filip
Journal of Computer-Aided Molecular Design. 36 (2022) 6 - p. 443-457 , 2022
Link:
https://doi.org/10.1007/..
?
9
Prediction of In Vivo Pharmacokinetic Parameters and Time–E..:
Obrezanova, Olga
;
Martinsson, Anton
;
Whitehead, Tom
...
Molecular Pharmaceutics. 19 (2022) 5 - p. 1488-1504 , 2022
Link:
https://doi.org/10.1021/..
?
10
Cell Morphological Profiling Enables High-Throughput Screen..:
Trapotsi, Maria-Anna
;
Mouchet, Elizabeth
;
Williams, Guy
...
ACS Chemical Biology. 17 (2022) 7 - p. 1733-1744 , 2022
Link:
https://doi.org/10.1021/..
?
11
Comparing the applications of machine learning, PBPK, and p..:
Gill, Jaidip
;
Moullet, Marie
;
Martinsson, Anton
...
CPT: Pharmacometrics & Systems Pharmacology. 11 (2022) 12 - p. 1560-1568 , 2022
Link:
https://doi.org/10.1002/..
?
12
Approach for the Design of Covalent Protein Kinase Inhibito..:
Yoshimori, Atsushi
;
Miljković, Filip
;
Bajorath, Jürgen
Molecules. 27 (2022) 2 - p. 570 , 2022
Link:
https://doi.org/10.3390/..
?
13
Systematic comparison of competitive and allosteric kinase ..:
Hu, Huabin
;
Laufkötter, Oliver
;
Miljković, Filip
.
European Journal of Medicinal Chemistry. 214 (2021) - p. 113206 , 2021
Link:
https://doi.org/10.1016/..
?
14
Impact of Artificial Intelligence on Compound Discovery, De..:
Miljković, Filip
;
Rodríguez-Pérez, Raquel
;
Bajorath, Jürgen
ACS Omega. 6 (2021) 49 - p. 33293-33299 , 2021
Link:
https://doi.org/10.1021/..
?
15
Data set of competitive and allosteric protein kinase inhib..:
Hu, Huabin
;
Laufkötter, Oliver
;
Miljković, Filip
.
Data in Brief. 35 (2021) - p. 106816 , 2021
Link:
https://doi.org/10.1016/..
1-15