Aug 2026· Molecular diversity· 0 citations· 21 references
Medicine
TL;DR
It is suggested that incorporating bioactivity similarity during pretraining can enrich molecular representations and improve drug-drug interaction prediction and exhibit enhanced sensitivity in distinguishing structurally similar molecules with subtle chemical differences.
Evaluations on eight MoleculeNet datasets show that MSMPP significantly outperforms state-of-the-art models, demonstrating its effectiveness in integrating multi-view intra-molecular features, inter-molecular features and cross-task information.
Jiongfeng Chen, Yulian Ding, Yan Yan et al.· IEEE journal of biomedical a...· 0 citations
IAMV-DDI is proposed, an interaction-aware multi-view molecular representation learning framework for DDI prediction and DDI event classification that achieves strong performance compared with representative network-based, chemical-structure-based, and hybrid baseline methods.
Huyen K. Nguyen, Quang H. Nguyen, D. Le· Journal of Chemical Informat...· 0 citations
By integrating intramolecular and intermolecular information, MUIGSL provides an effective solution for accurate molecular property prediction and facilitates the discovery of potential drug candidates.
Wei-Dong Wu, Yan Li, Xian-Fa Cai et al.· IEEE Access· 0 citations
Experiments on eight MoleculeNet benchmark datasets show that MSGRL achieves the highest ROC-AUC scores on all five classification datasets and the lowest RMSE on Lipophilicity, while its performance on ESOL and FreeSolv is more mixed.
You Wu, Yu-Xin Jiang, Xiao-Yun Qi et al.· Molecules· 0 citations
Visualization and prototype preference analyses indicate that PACL separates structurally similar molecules with different functional properties more clearly in task-aligned representation spaces, supporting adaptive substructure contrastive learning and task-specific semantic alignment as an effective strategy for mul...
Jie-Zhou Chen, Ping-Yu Wang, Lin-Bo Qing et al.· Journal of Computer-Aided Mo...· 0 citations
A novel Dual-Attention Multimodal framework for Graphs and Sequence-based representations, so-called DAM-GS, which provides a promising solution for molecular property prediction with broad applications in drug discovery and computational molecular science.
Bay Van Nguyen, Vinh Truong, Ha Duong Thi Hong et al.· Journal of Chemical Informat...· 0 citations
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