MolBridge: Atom-Level Joint Graph Refinement for Robust Drug-Drug Interaction Event Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Xuan, Ding, Aocheng, Ma, Tengfei, Liang, Hua, Quan, Zhe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
by: Wang, Yingying, et al.
Published: (2024)
by: Wang, Yingying, et al.
Published: (2024)
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development
by: Ma, Tengfei, et al.
Published: (2024)
by: Ma, Tengfei, et al.
Published: (2024)
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction
by: He, Yuqin, et al.
Published: (2025)
by: He, Yuqin, et al.
Published: (2025)
Towards Interpretable Drug-Drug Interaction Prediction: A Graph-Based Approach with Molecular and Network-Level Explanations
by: Chen, Mengjie, et al.
Published: (2025)
by: Chen, Mengjie, et al.
Published: (2025)
A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction
by: Yan, Zimo, et al.
Published: (2025)
by: Yan, Zimo, et al.
Published: (2025)
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
by: Ma, Tengfei, et al.
Published: (2023)
by: Ma, Tengfei, et al.
Published: (2023)
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
by: Zhai, Xinlong, et al.
Published: (2025)
by: Zhai, Xinlong, et al.
Published: (2025)
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
by: Dai, Yifan, et al.
Published: (2025)
by: Dai, Yifan, et al.
Published: (2025)
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
by: Sun, Zhaoyue, et al.
Published: (2024)
by: Sun, Zhaoyue, et al.
Published: (2024)
MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)
by: De Vito, Gabriele, et al.
Published: (2025)
Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
by: Gil-Sorribes, Manel, et al.
Published: (2025)
by: Gil-Sorribes, Manel, et al.
Published: (2025)
Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction
by: Liu, Guangyi, et al.
Published: (2025)
by: Liu, Guangyi, et al.
Published: (2025)
Graph Diffusion Network for Drug-Gene Prediction
by: Wu, Jiayang, et al.
Published: (2025)
by: Wu, Jiayang, et al.
Published: (2025)
Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)
by: Lee, Franklin, et al.
Published: (2025)
AIM-DDI: A Model-Agnostic Multimodal Integration Module for Drug-Drug Interaction Prediction
by: Park, Yerin, et al.
Published: (2026)
by: Park, Yerin, et al.
Published: (2026)
A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
by: Shamami, Maryam Abdollahi, et al.
Published: (2025)
by: Shamami, Maryam Abdollahi, et al.
Published: (2025)
MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization
by: Zhang, Lisheng, et al.
Published: (2026)
by: Zhang, Lisheng, et al.
Published: (2026)
S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
by: Ma, Tengfei, et al.
Published: (2024)
by: Ma, Tengfei, et al.
Published: (2024)
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
by: Du, Haotong, et al.
Published: (2024)
by: Du, Haotong, et al.
Published: (2024)
AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models
by: Lin, Xuan, et al.
Published: (2025)
by: Lin, Xuan, et al.
Published: (2025)
From Detection to Mechanism: Cross-Attention Graph Neural Networks Enable Drug-Drug Interaction Type Prediction An Ablation Study with Acetylsalicylic Acid Validation
by: Dietrich, Juergen
Published: (2026)
by: Dietrich, Juergen
Published: (2026)
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
by: Xiang, Chengrui, et al.
Published: (2025)
by: Xiang, Chengrui, et al.
Published: (2025)
InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
by: Cao, He, et al.
Published: (2023)
by: Cao, He, et al.
Published: (2023)
Rewarding Explainability in Drug Repurposing with Knowledge Graphs
by: Nunes, Susana, et al.
Published: (2025)
by: Nunes, Susana, et al.
Published: (2025)
VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
by: Wu, Jiawei, et al.
Published: (2024)
by: Wu, Jiawei, et al.
Published: (2024)
A Scalable Predictive Modelling Approach to Identifying Duplicate Adverse Event Reports for Drugs and Vaccines
by: Barrett, Jim W., et al.
Published: (2025)
by: Barrett, Jim W., et al.
Published: (2025)
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
by: Wang, Mengying, et al.
Published: (2025)
by: Wang, Mengying, et al.
Published: (2025)
DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
by: Shi, Haoyuan, et al.
Published: (2024)
by: Shi, Haoyuan, et al.
Published: (2024)
Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms
by: Song, Jiyan, et al.
Published: (2026)
by: Song, Jiyan, et al.
Published: (2026)
MixRx: Predicting Drug Combination Interactions with LLMs
by: Surana, Risha, et al.
Published: (2025)
by: Surana, Risha, et al.
Published: (2025)
Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
by: Luo, Yi, et al.
Published: (2025)
by: Luo, Yi, et al.
Published: (2025)
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance
by: Wang, Zhaoying, et al.
Published: (2025)
by: Wang, Zhaoying, et al.
Published: (2025)
Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
by: Zhang, Xinnan, et al.
Published: (2024)
by: Zhang, Xinnan, et al.
Published: (2024)
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
by: Rivera, Oscar, et al.
Published: (2026)
by: Rivera, Oscar, et al.
Published: (2026)
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
by: Wang, Qingyun, et al.
Published: (2020)
by: Wang, Qingyun, et al.
Published: (2020)
DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction
by: Inoue, Yoshitaka, et al.
Published: (2024)
by: Inoue, Yoshitaka, et al.
Published: (2024)
S$^2$Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
by: He, Bowei, et al.
Published: (2025)
by: He, Bowei, et al.
Published: (2025)
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
Similar Items
-
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
by: Wang, Yingying, et al.
Published: (2024) -
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development
by: Ma, Tengfei, et al.
Published: (2024) -
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction
by: He, Yuqin, et al.
Published: (2025) -
Towards Interpretable Drug-Drug Interaction Prediction: A Graph-Based Approach with Molecular and Network-Level Explanations
by: Chen, Mengjie, et al.
Published: (2025) -
A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction
by: Yan, Zimo, et al.
Published: (2025)