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Indra Priyadarsini

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Open access Sep 2026

Revisiting molecular descriptors with TDiMS for interpretable intramolecular interactions based on substructure pairs

Molecular descriptors play a crucial role in representing the structural features of molecules for machine learning-based physical property prediction. However, current descriptors either consider only local aspects of molecular structures or fail to effectively learn nonlocal structural features involving long-distanc...

Lisa Hamada, Akihiro Kishimoto, Kohei Miyaguchi et al. · 0 citations

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