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Generation of new inhibitors of selected cytochrome P450 subtypes- study.
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Explainability in Graph Neural Networks: A Taxonomic Survey.
IEEE Trans Pattern Anal Mach Intell. 2023 May;45(5):5782-5799. doi: 10.1109/TPAMI.2022.3204236. Epub 2023 Apr 3.
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A multitask GNN-based interpretable model for discovery of selective JAK inhibitors.
J Cheminform. 2022 Mar 15;14(1):16. doi: 10.1186/s13321-022-00593-9.
3
How can SHAP values help to shape metabolic stability of chemical compounds?
J Cheminform. 2021 Sep 27;13(1):74. doi: 10.1186/s13321-021-00542-y.
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Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening.
J Chem Inf Model. 2020 Sep 28;60(9):4246-4262. doi: 10.1021/acs.jcim.9b01202. Epub 2020 Sep 16.
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QSPR/QSAR: State-of-Art, Weirdness, the Future.
Molecules. 2020 Mar 12;25(6):1292. doi: 10.3390/molecules25061292.
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Rapid Identification of Potential Inhibitors of SARS-CoV-2 Main Protease by Deep Docking of 1.3 Billion Compounds.
Mol Inform. 2020 Aug;39(8):e2000028. doi: 10.1002/minf.202000028. Epub 2020 Mar 23.
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ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches.
J Chem Inf Model. 2019 Nov 25;59(11):4587-4601. doi: 10.1021/acs.jcim.9b00801. Epub 2019 Nov 5.
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Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network.
Mol Pharm. 2018 Oct 1;15(10):4336-4345. doi: 10.1021/acs.molpharmaceut.8b00110. Epub 2018 May 30.
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MoleculeNet: a benchmark for molecular machine learning.
Chem Sci. 2017 Oct 31;9(2):513-530. doi: 10.1039/c7sc02664a. eCollection 2018 Jan 14.
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MetStabOn-Online Platform for Metabolic Stability Predictions.
Int J Mol Sci. 2018 Mar 30;19(4):1040. doi: 10.3390/ijms19041040.

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