ArticlePloS one2015
Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Uncovering the mechanisms of synergistic drug combinations in non-small cell lung cancer through metagene-based classification.PloS one · 2026Article
- PS3N: leveraging protein sequence-structure similarity for novel drug-drug interaction discovery.Scientific reports · 2025Article
- DDI-CYP: Metabolism ensemble models for drug-drug interaction predictions.Drug metabolism and disposition: the biological fate of chemicals · 2025Article
- Are We Considering All the Potential Drug-Drug Interactions in Women's Reproductive Health? A Predictive Model Approach.Pharmaceutics · 2025Article
- Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction.Interdisciplinary sciences, computational life sciences · 2025Article
- Article
- Predicting the toxic side effects of drug interactions using chemical structures and protein sequences.Scientific reports · 2024Article
- DrugDAGT: a dual-attention graph transformer with contrastive learning improves drug-drug interaction prediction.BMC biology · 2024Article
- MPHGCL-DDI: Meta-Path-Based Heterogeneous Graph Contrastive Learning for Drug-Drug Interaction Prediction.Molecules (Basel, Switzerland) · 2024Article
- Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion.Frontiers in pharmacology · 2024Article
- PRID: Prediction Model Using RWR for Interactions between Drugs.Pharmaceutics · 2023Article
- TP-DDI: A Two-Pathway Deep Neural Network for Drug-Drug Interaction Prediction.Interdisciplinary sciences, computational life sciences · 2022Article
- MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning.Journal of cheminformatics · 2022Article
- A network paradigm predicts drug synergistic effects using downstream protein-protein interactions.CPT: pharmacometrics & systems pharmacology · 2022Article
- Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information.NPJ digital medicine · 2022Article
- Article
- DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions.Journal of cheminformatics · 2022Article
- Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships.PloS one · 2022Article
- A Rule-Based Inference Framework to Explore and Explain the Biological Related Mechanisms of Potential Drug-Drug Interactions.Computational and mathematical methods in medicine · 2022Article
- A machine learning framework for predicting drug-drug interactions.Scientific reports · 2021Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
As pharmacodynamic drug-drug interactions (PD DDIs) could lead to severe adverse effects in patients, it is important to identify potential PD DDIs in drug development. The signaling starting from drug targets is propagated through protein-protein interaction (PPI) networks. PD DDIs could occur by close interference on the same targets or within the same pathways as well as distant interference through cross-talking pathways. However, most of the previous approaches have considered only close interference by measuring distances between drug targets or comparing target neighbors. We have applied a random walk with restart algorithm to simulate signaling propagation from drug targets in order to capture the possibility of their distant interference. Cross validation with DrugBank and Kyoto Encyclopedia of Genes and Genomes DRUG shows that the proposed method outperforms the previous methods significantly. We also provide a web service with which PD DDIs for drug pairs can be analyzed at http://biosoft.kaist.ac.kr/targetrw.
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