Rethinking Drug-Drug Interaction Modeling as Generalizable Relation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Dong, Wu, Jiantao, Pan, Qihua, Yuan, Sisi, Zhu, Zexuan, Ji, Junkai |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unveiling Scaling Behaviors in Molecular Language Models: Effects of Model Size, Data, and Representation
by: Xu, Dong, et al.
Published: (2026)
by: Xu, Dong, et al.
Published: (2026)
FROGENT: An End-to-End Full-process Drug Design Multi-Agent System
by: Pan, Qihua, et al.
Published: (2025)
by: Pan, Qihua, et al.
Published: (2025)
IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data
by: Xu, Dong, et al.
Published: (2025)
by: Xu, Dong, et al.
Published: (2025)
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion
by: Xu, Dong, et al.
Published: (2025)
by: Xu, Dong, et al.
Published: (2025)
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing
by: Lu, Yingzhou, et al.
Published: (2024)
by: Lu, Yingzhou, et al.
Published: (2024)
KITE-DDI: A Knowledge graph Integrated Transformer Model for accurately predicting Drug-Drug Interaction Events from Drug SMILES and Biomedical Knowledge Graph
by: Tamir, Azwad, et al.
Published: (2024)
by: Tamir, Azwad, et al.
Published: (2024)
A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction
by: Zhang, Hongzhi, et al.
Published: (2024)
by: Zhang, Hongzhi, et al.
Published: (2024)
BioLM-Score: Language-Prior Conditioned Probabilistic Geometric Potentials for Protein-Ligand Scoring
by: Yang, Zhangfan, et al.
Published: (2026)
by: Yang, Zhangfan, et al.
Published: (2026)
MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation
by: Xu, Dong, et al.
Published: (2025)
by: Xu, Dong, et al.
Published: (2025)
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)
GFlowNets for Learning Better Drug-Drug Interaction Representations
by: Wasi, Azmine Toushik
Published: (2025)
by: Wasi, Azmine Toushik
Published: (2025)
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
by: Hu, Junwei, et al.
Published: (2024)
by: Hu, Junwei, et al.
Published: (2024)
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)
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
Conditional Chemical Language Models are Versatile Tools in Drug Discovery
by: Zhu, Lu, et al.
Published: (2025)
by: Zhu, Lu, et al.
Published: (2025)
Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval
by: Tupakula, Mallikarjuna
Published: (2025)
by: Tupakula, Mallikarjuna
Published: (2025)
Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks
by: Ibragimova, Regina, et al.
Published: (2024)
by: Ibragimova, Regina, et al.
Published: (2024)
Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
by: Kim, Taehan, et al.
Published: (2026)
by: Kim, Taehan, et al.
Published: (2026)
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
by: Wang, Dannong, et al.
Published: (2024)
by: Wang, Dannong, et al.
Published: (2024)
Utilizing Reinforcement Learning for de novo Drug Design
by: Svensson, Hampus Gummesson, et al.
Published: (2023)
by: Svensson, Hampus Gummesson, et al.
Published: (2023)
Structure-based Drug Design with Equivariant Diffusion Models
by: Schneuing, Arne, et al.
Published: (2022)
by: Schneuing, Arne, et al.
Published: (2022)
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
by: Abdullahi, Tassallah, et al.
Published: (2025)
by: Abdullahi, Tassallah, et al.
Published: (2025)
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)
A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
by: Rana, Md Masud, et al.
Published: (2025)
by: Rana, Md Masud, et al.
Published: (2025)
Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction
by: Lian, Xiaoqing, et al.
Published: (2025)
by: Lian, Xiaoqing, et al.
Published: (2025)
Diversity-Aware Reinforcement Learning for de novo Drug Design
by: Svensson, Hampus Gummesson, et al.
Published: (2024)
by: Svensson, Hampus Gummesson, et al.
Published: (2024)
Multi-domain Distribution Learning for De Novo Drug Design
by: Schneuing, Arne, et al.
Published: (2025)
by: Schneuing, Arne, et al.
Published: (2025)
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling
by: Eckmann, Peter, et al.
Published: (2024)
by: Eckmann, Peter, et al.
Published: (2024)
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data
by: Overbeek, Jamie C., et al.
Published: (2024)
by: Overbeek, Jamie C., et al.
Published: (2024)
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
by: Huang, Zhilin, et al.
Published: (2024)
by: Huang, Zhilin, et al.
Published: (2024)
Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
by: Li, Kun, et al.
Published: (2025)
by: Li, Kun, et al.
Published: (2025)
Autonomous Drug Design with Multi-Armed Bandits
by: Svensson, Hampus Gummesson, et al.
Published: (2022)
by: Svensson, Hampus Gummesson, et al.
Published: (2022)
Generative Flows on Synthetic Pathway for Drug Design
by: Seo, Seonghwan, et al.
Published: (2024)
by: Seo, Seonghwan, et al.
Published: (2024)
Graph Neural Networks in Modern AI-aided Drug Discovery
by: Zhang, Odin, et al.
Published: (2025)
by: Zhang, Odin, et al.
Published: (2025)
Quantum Long Short-Term Memory for Drug Discovery
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
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)
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
by: Zhou, Xiangxin, et al.
Published: (2024)
by: Zhou, Xiangxin, et al.
Published: (2024)
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
by: Guan, Jiaqi, et al.
Published: (2024)
by: Guan, Jiaqi, et al.
Published: (2024)
Scaffold-Based Multi-Objective Drug Candidate Optimization
by: Kruel, Agustin, et al.
Published: (2022)
by: Kruel, Agustin, et al.
Published: (2022)
Towards a Better Model with Dual Transformer for Drug Response Prediction
by: Li, Kun, et al.
Published: (2022)
by: Li, Kun, et al.
Published: (2022)
Similar Items
-
Unveiling Scaling Behaviors in Molecular Language Models: Effects of Model Size, Data, and Representation
by: Xu, Dong, et al.
Published: (2026) -
FROGENT: An End-to-End Full-process Drug Design Multi-Agent System
by: Pan, Qihua, et al.
Published: (2025) -
IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data
by: Xu, Dong, et al.
Published: (2025) -
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion
by: Xu, Dong, et al.
Published: (2025) -
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing
by: Lu, Yingzhou, et al.
Published: (2024)