ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Ziyan, Xiong, Zhankun, Huang, Feng, Liu, Xuan, Zhang, Wen |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation
por: Wang, Ziyan, et al.
Publicado: (2025)
por: Wang, Ziyan, et al.
Publicado: (2025)
KITE-DDI: A Knowledge graph Integrated Transformer Model for accurately predicting Drug-Drug Interaction Events from Drug SMILES and Biomedical Knowledge Graph
por: Tamir, Azwad, et al.
Publicado: (2024)
por: Tamir, Azwad, et al.
Publicado: (2024)
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
por: Wang, Yongkang, et al.
Publicado: (2023)
por: Wang, Yongkang, et al.
Publicado: (2023)
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
por: Wang, Yingying, et al.
Publicado: (2024)
por: Wang, Yingying, et al.
Publicado: (2024)
Zero-Shot 3D Drug Design by Sketching and Generating
por: Long, Siyu, et al.
Publicado: (2022)
por: Long, Siyu, et al.
Publicado: (2022)
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
por: Hu, Junwei, et al.
Publicado: (2024)
por: Hu, Junwei, et al.
Publicado: (2024)
Rethinking Drug-Drug Interaction Modeling as Generalizable Relation Learning
por: Xu, Dong, et al.
Publicado: (2026)
por: Xu, Dong, et al.
Publicado: (2026)
Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks
por: Ibragimova, Regina, et al.
Publicado: (2024)
por: Ibragimova, Regina, et al.
Publicado: (2024)
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing
por: Lu, Yingzhou, et al.
Publicado: (2024)
por: Lu, Yingzhou, et al.
Publicado: (2024)
Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval
por: Tupakula, Mallikarjuna
Publicado: (2025)
por: Tupakula, Mallikarjuna
Publicado: (2025)
Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
por: Gil-Sorribes, Manel, et al.
Publicado: (2025)
por: Gil-Sorribes, Manel, et al.
Publicado: (2025)
GFlowNets for Learning Better Drug-Drug Interaction Representations
por: Wasi, Azmine Toushik
Publicado: (2025)
por: Wasi, Azmine Toushik
Publicado: (2025)
A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction
por: Zhang, Hongzhi, et al.
Publicado: (2024)
por: Zhang, Hongzhi, et al.
Publicado: (2024)
Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation
por: Klypa, Roman, et al.
Publicado: (2026)
por: Klypa, Roman, et al.
Publicado: (2026)
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
por: Abdullahi, Tassallah, et al.
Publicado: (2025)
por: Abdullahi, Tassallah, et al.
Publicado: (2025)
A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
por: Shamami, Maryam Abdollahi, et al.
Publicado: (2025)
por: Shamami, Maryam Abdollahi, et al.
Publicado: (2025)
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
por: Du, Haotong, et al.
Publicado: (2024)
por: Du, Haotong, et al.
Publicado: (2024)
Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
por: Kim, Taehan, et al.
Publicado: (2026)
por: Kim, Taehan, et al.
Publicado: (2026)
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
por: Wasi, Azmine Toushik, et al.
Publicado: (2024)
por: Wasi, Azmine Toushik, et al.
Publicado: (2024)
Systems-Structure-Based Drug Design
por: Zaballa, Vincent D., et al.
Publicado: (2024)
por: Zaballa, Vincent D., et al.
Publicado: (2024)
Towards a Better Model with Dual Transformer for Drug Response Prediction
por: Li, Kun, et al.
Publicado: (2022)
por: Li, Kun, et al.
Publicado: (2022)
Pushing the boundaries of Structure-Based Drug Design through Collaboration with Large Language Models
por: Gao, Bowen, et al.
Publicado: (2025)
por: Gao, Bowen, et al.
Publicado: (2025)
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
por: Zhang, Zaixi, et al.
Publicado: (2024)
por: Zhang, Zaixi, et al.
Publicado: (2024)
A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
por: Rana, Md Masud, et al.
Publicado: (2025)
por: Rana, Md Masud, et al.
Publicado: (2025)
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
por: Wang, Dannong, et al.
Publicado: (2024)
por: Wang, Dannong, et al.
Publicado: (2024)
Artificial Intelligence Approaches for Anti-Addiction Drug Discovery
por: Chen, Dong, et al.
Publicado: (2025)
por: Chen, Dong, et al.
Publicado: (2025)
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
por: Zhou, Xiangxin, et al.
Publicado: (2024)
por: Zhou, Xiangxin, et al.
Publicado: (2024)
DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery
por: Li, Kun, et al.
Publicado: (2025)
por: Li, Kun, et al.
Publicado: (2025)
Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
por: Li, Kun, et al.
Publicado: (2025)
por: Li, Kun, et al.
Publicado: (2025)
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data
por: Overbeek, Jamie C., et al.
Publicado: (2024)
por: Overbeek, Jamie C., et al.
Publicado: (2024)
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
por: Wang, Zhiwei, et al.
Publicado: (2024)
por: Wang, Zhiwei, et al.
Publicado: (2024)
Utilizing Reinforcement Learning for de novo Drug Design
por: Svensson, Hampus Gummesson, et al.
Publicado: (2023)
por: Svensson, Hampus Gummesson, et al.
Publicado: (2023)
Predicting Early and Complete Drug Release from Long-Acting Injectables Using Explainable Machine Learning
por: Robles, Karla N., et al.
Publicado: (2026)
por: Robles, Karla N., et al.
Publicado: (2026)
On Novel Approach for Computing Distance based Indices of Anti-tuberculosis Drugs
por: Gunawardhana, D. C., et al.
Publicado: (2024)
por: Gunawardhana, D. C., et al.
Publicado: (2024)
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
por: Qiu, Keyue, et al.
Publicado: (2025)
por: Qiu, Keyue, et al.
Publicado: (2025)
AI-driven Alternative Medicine: A Novel Approach to Drug Discovery and Repurposing
por: Bilokon, Oleksandr, et al.
Publicado: (2024)
por: Bilokon, Oleksandr, et al.
Publicado: (2024)
Diversity-Aware Reinforcement Learning for de novo Drug Design
por: Svensson, Hampus Gummesson, et al.
Publicado: (2024)
por: Svensson, Hampus Gummesson, et al.
Publicado: (2024)
Multi-domain Distribution Learning for De Novo Drug Design
por: Schneuing, Arne, et al.
Publicado: (2025)
por: Schneuing, Arne, et al.
Publicado: (2025)
Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction Prediction
por: Schuh, Maximilian G., et al.
Publicado: (2024)
por: Schuh, Maximilian G., et al.
Publicado: (2024)
Generative molecule evolution using 3D pharmacophore for efficient Structure-Based Drug Design
por: He, Yi, et al.
Publicado: (2025)
por: He, Yi, et al.
Publicado: (2025)
Ejemplares similares
-
PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation
por: Wang, Ziyan, et al.
Publicado: (2025) -
KITE-DDI: A Knowledge graph Integrated Transformer Model for accurately predicting Drug-Drug Interaction Events from Drug SMILES and Biomedical Knowledge Graph
por: Tamir, Azwad, et al.
Publicado: (2024) -
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
por: Wang, Yongkang, et al.
Publicado: (2023) -
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
por: Wang, Yingying, et al.
Publicado: (2024) -
Zero-Shot 3D Drug Design by Sketching and Generating
por: Long, Siyu, et al.
Publicado: (2022)