Quantitative evaluation of explainable graph neural networks for molecular property prediction. [PDF]
Rao J, Zheng S, Lu Y, Yang Y.
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Interpretable QSAR and Complementary Docking for PARP1 Inhibitor Prioritization: Reliability Stratification and Near-Domain Screening. [PDF]
Elsayad AM, Elsayad KA.
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Metabolite Identification Data in Drug Discovery, Part 2: Site-of-Metabolism Annotation, Analysis, and Exploration for Machine Learning. [PDF]
Chen Y +6 more
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Dual-Site Acetylcholinesterase Inhibition and Multiscale Stability of Fused Quinoline Sulfonamides: A Chemoinformatic GA-MLR and Molecular Dynamics Study. [PDF]
Nilewar SS +11 more
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Machine Learning-Based Prediction of Rule Violations for Drug-Likeness Assessment in Peptide Molecules Using Random Forest Models. [PDF]
Lambev M, Dimitrova D, Mihaylova S.
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Explainability Methods from Machine Learning Detect Important Drugs' Atoms in Drug-Target Interactions. [PDF]
Mahindran M +3 more
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Detecting and Grouping In-Source Fragments with Low-Energy Stepped HCD, Together with MS3, Increases Identification Confidence in Untargeted LC-Orbitrap Metabolomics of Plantago lanceolata Leaves and P. ovata Husk. [PDF]
Pedišius V +4 more
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Hardware-in-the-Loop experiments in model ice for analysis of ice-induced vibrations of offshore structures. [PDF]
Hammer TC, Hendrikse H.
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Using Machine Learning for the Discovery and Development of Multitarget Flavonoid-Based Functional Products in MASLD. [PDF]
Kuznetsov M +7 more
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