Research graph
References from Structure-aware prompt learning with large language models for drug–drug interaction prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
Application of artificial intelligence in drug–drug interactions prediction: a review
10.1021/acs.jcim.3c00582 · 2023 · External reference
Similarity-based modeling in large-scale prediction of drug-drug interactions
10.1038/nprot.2014.151 · 2014 · External reference
In vitro to in vivo extrapolation of the complex drug-drug interaction of bupropion and its metabolites with CYP2D6; simultaneous reversible inhibition and CYP2D6 downregulation
10.1016/j.bcp.2016.11.007 · 2017 · External reference
High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response
10.1038/nm.3954 · 2015 · External reference
A feature pair-based neural network embedded decision tree for synergistic drug combination prediction
10.1016/j.patcog.2025.111608 · 2025 · External reference
Full-attention based drug drug interaction extraction exploiting user-generated content
2018 · External reference
Drug-drug interaction extraction via recurrent hybrid convolutional neural networks with an improved focal loss
10.3390/e21010037 · 2019 · External reference
Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
10.1371/journal.pone.0196865 · 2018 · External reference
Stnn-ddi: a substructure-aware tensor neural network to predict drug–drug interactions
10.1093/bib/bbac209 · 2022 · External reference
Unresolved reference
External reference
HetDDI: a pre-trained heterogeneous graph neural network model for drug–drug interaction prediction
10.1093/bib/bbad385 · 2023 · External reference
Multi-relational contrastive learning graph neural network for drug-drug interaction event prediction
2023 · External reference
Large language models in medicine
10.1038/s41591-023-02448-8 · 2023 · External reference
A large language model framework for literature-based disease–gene association prediction
10.1093/bib/bbaf070 · 2025 · External reference
LLM-DDI: leveraging large language models for drug-drug interaction prediction on biomedical knowledge graph
10.1109/jbhi.2025.3585290 · 2025 · External reference
LLMs for drug-drug interaction prediction using textual drug descriptors
10.1016/j.knosys.2026.115486 · 2026 · External reference
Detection of drug–drug interactions through data mining studies using clinical sources, scientific literature and social media
10.1093/bib/bbx010 · 2018 · External reference
Using drug descriptions and molecular structures for drug–drug interaction extraction from literature
10.1093/bioinformatics/btaa907 · 2021 · External reference
A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories
10.1038/s42256-020-0189-y · 2020 · External reference
TransformDDI: the transformer-based joint multi-task model for end-to-end drug-drug interaction extraction
10.1109/jbhi.2024.3507738 · 2024 · External reference
SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction
10.1093/bib/bbab133 · 2021 · External reference
Mkg-fenn: A multimodal knowledge graph fused end-to-end neural network for accurate drug–drug interaction prediction
2024 · External reference
KGNN: Knowledge graph neural network for drug-drug interaction prediction
2020 · External reference
Transfol: A logical query model for complex relational reasoning in drug-drug interaction
10.1109/jbhi.2024.3401035 · 2024 · External reference
Dual-channel learning framework for drug-drug interaction prediction via relation-aware heterogeneous graph transformer
2024 · External reference
Dual-channel heterogeneous graph framework with multi-view contrastive learning for drug–drug interaction prediction
10.1016/j.engappai.2026.114141 · 2026 · External reference
Predicting drug-drug interactions using meta-path based similarities
2021 · External reference
Unresolved reference
2022 · External reference
Informative subgraph extraction with deep reinforcement learning for drug-drug interaction prediction
2026 · External reference
DrugReAlign: a multisource prompt framework for drug repurposing based on large language models
10.1186/s12915-024-02028-3 · 2024 · External reference
MMDG-DTI: Drug–target interaction prediction via multimodal feature fusion and domain generalization
10.1016/j.patcog.2024.110887 · 2025 · External reference
Improving drug-drug interaction prediction via in-context learning and judging with large language models
10.3389/fphar.2025.1589788 · 2025 · External reference
Ddi-Gpt: Explainable prediction of drug-drug interactions using large language models enhanced with knowledge graphs
2024 · External reference
10.1145/3711896.3737011
10.1145/3711896.3737011 · External reference
D3: a small language model for drug-drug interaction prediction and comparison with large language models
2025 · External reference
Leveraging language model for advanced multiproperty molecular optimization via prompt engineering
10.1038/s42256-024-00916-5 · 2024 · External reference
Improving large language models for clinical named entity recognition via prompt engineering
10.1093/jamia/ocad259 · 2024 · External reference
Lora: Low-rank adaptation of large language models
2022 · External reference
DrugBank 5.0: a major update to the DrugBank database for 2018
10.1093/nar/gkx1037 · 2018 · External reference
Open graph benchmark: Datasets for machine learning on graphs
2020 · External reference
A multimodal deep learning framework for predicting drug–drug interaction events
10.1093/bioinformatics/btaa501 · 2020 · External reference
Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug–drug interactions prediction
10.1093/bib/bbac296 · 2022 · External reference
MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism
10.1093/bib/bbab421 · 2022 · External reference
MDNN: A multimodal deep neural network for predicting drug-drug interaction events.
2021 · External reference
In vitro to in vivo extrapolation of the complex drug-drug interaction of bupropion and its metabolites with CYP2D6; simultaneous reversible inhibition and CYP2D6 downregulation
10.1016/j.bcp.2016.11.007 · ExternalCitation · doi-reference
Dual-channel heterogeneous graph framework with multi-view contrastive learning for drug–drug interaction prediction
10.1016/j.engappai.2026.114141 · ExternalCitation · doi-reference
LLMs for drug-drug interaction prediction using textual drug descriptors
10.1016/j.knosys.2026.115486 · ExternalCitation · doi-reference
MMDG-DTI: Drug–target interaction prediction via multimodal feature fusion and domain generalization
10.1016/j.patcog.2024.110887 · ExternalCitation · doi-reference
A feature pair-based neural network embedded decision tree for synergistic drug combination prediction
10.1016/j.patcog.2025.111608 · ExternalCitation · doi-reference
Application of artificial intelligence in drug–drug interactions prediction: a review
10.1021/acs.jcim.3c00582 · ExternalCitation · doi-reference
High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response
10.1038/nm.3954 · ExternalCitation · doi-reference
Similarity-based modeling in large-scale prediction of drug-drug interactions
10.1038/nprot.2014.151 · ExternalCitation · doi-reference
Large language models in medicine
10.1038/s41591-023-02448-8 · ExternalCitation · doi-reference
A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories
10.1038/s42256-020-0189-y · ExternalCitation · doi-reference
Leveraging language model for advanced multiproperty molecular optimization via prompt engineering
10.1038/s42256-024-00916-5 · ExternalCitation · doi-reference
SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction
10.1093/bib/bbab133 · ExternalCitation · doi-reference
MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism
10.1093/bib/bbab421 · ExternalCitation · doi-reference
Stnn-ddi: a substructure-aware tensor neural network to predict drug–drug interactions
10.1093/bib/bbac209 · ExternalCitation · doi-reference
Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug–drug interactions prediction
10.1093/bib/bbac296 · ExternalCitation · doi-reference
HetDDI: a pre-trained heterogeneous graph neural network model for drug–drug interaction prediction
10.1093/bib/bbad385 · ExternalCitation · doi-reference
A large language model framework for literature-based disease–gene association prediction
10.1093/bib/bbaf070 · ExternalCitation · doi-reference
Detection of drug–drug interactions through data mining studies using clinical sources, scientific literature and social media
10.1093/bib/bbx010 · ExternalCitation · doi-reference
A multimodal deep learning framework for predicting drug–drug interaction events
10.1093/bioinformatics/btaa501 · ExternalCitation · doi-reference
Using drug descriptions and molecular structures for drug–drug interaction extraction from literature
10.1093/bioinformatics/btaa907 · ExternalCitation · doi-reference
Improving large language models for clinical named entity recognition via prompt engineering
10.1093/jamia/ocad259 · ExternalCitation · doi-reference
DrugBank 5.0: a major update to the DrugBank database for 2018
10.1093/nar/gkx1037 · ExternalCitation · doi-reference
Transfol: A logical query model for complex relational reasoning in drug-drug interaction
10.1109/jbhi.2024.3401035 · ExternalCitation · doi-reference
TransformDDI: the transformer-based joint multi-task model for end-to-end drug-drug interaction extraction
10.1109/jbhi.2024.3507738 · ExternalCitation · doi-reference
LLM-DDI: leveraging large language models for drug-drug interaction prediction on biomedical knowledge graph
10.1109/jbhi.2025.3585290 · ExternalCitation · doi-reference
10.1145/3711896.3737011
10.1145/3711896.3737011 · ExternalCitation · doi-reference
DrugReAlign: a multisource prompt framework for drug repurposing based on large language models
10.1186/s12915-024-02028-3 · ExternalCitation · doi-reference
Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
10.1371/journal.pone.0196865 · ExternalCitation · doi-reference
Improving drug-drug interaction prediction via in-context learning and judging with large language models
10.3389/fphar.2025.1589788 · ExternalCitation · doi-reference
Drug-drug interaction extraction via recurrent hybrid convolutional neural networks with an improved focal loss
10.3390/e21010037 · ExternalCitation · doi-reference
