Publications by authors named "Le Quang Hung"
Article Synopsis
- The study addresses the challenge of obtaining detailed information on new drugs and their interactions, which is often resource-intensive for evaluating adverse drug events.
- Researchers developed a machine learning framework called HAINI to predict drug-drug interaction (DDI) types specifically for histamine antagonist drugs, using simplified molecular structures (SMILES) and CYP450 interaction features.
- The model demonstrated superior performance in predicting DDIs with a precision of 0.788, recall of 0.921, and an F1-score of 0.838, indicating its effectiveness in the early stages of drug development.
This article is concerned with the application of reciprocity in computing guided wave motions generated by a time-harmonic load in a layer of uniform thickness joined to a half-space. Explicit expressions for free Rayleigh waves and Love waves propagating in the layered half-space are introduced. Exact solutions of Rayleigh waves and Love waves are derived from reciprocity relations between an actual state - guided waves generated by a time-harmonic line load and a virtual state - an appropriately chosen free wave traveling in the structure.
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