Copertina

ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Ziyan, Xiong, Zhankun, Huang, Feng, Liu, Xuan, Zhang, Wen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Biomolecules
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation
di: Wang, Ziyan, et al.
Pubblicazione: (2025)

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
di: Wang, Yongkang, et al.
Pubblicazione: (2023)

KITE-DDI: A Knowledge graph Integrated Transformer Model for accurately predicting Drug-Drug Interaction Events from Drug SMILES and Biomedical Knowledge Graph
di: Tamir, Azwad, et al.
Pubblicazione: (2024)

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
di: Wang, Yingying, et al.
Pubblicazione: (2024)

Zero-Shot 3D Drug Design by Sketching and Generating
di: Long, Siyu, et al.
Pubblicazione: (2022)

A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
di: Hu, Junwei, et al.
Pubblicazione: (2024)

Rethinking Drug-Drug Interaction Modeling as Generalizable Relation Learning
di: Xu, Dong, et al.
Pubblicazione: (2026)

Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks
di: Ibragimova, Regina, et al.
Pubblicazione: (2024)

DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing
di: Lu, Yingzhou, et al.
Pubblicazione: (2024)

Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval
di: Tupakula, Mallikarjuna
Pubblicazione: (2025)

Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
di: Gil-Sorribes, Manel, et al.
Pubblicazione: (2025)

GFlowNets for Learning Better Drug-Drug Interaction Representations
di: Wasi, Azmine Toushik
Pubblicazione: (2025)

A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction
di: Zhang, Hongzhi, et al.
Pubblicazione: (2024)

Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation
di: Klypa, Roman, et al.
Pubblicazione: (2026)

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
di: Abdullahi, Tassallah, et al.
Pubblicazione: (2025)

A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
di: Shamami, Maryam Abdollahi, et al.
Pubblicazione: (2025)

Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
di: Du, Haotong, et al.
Pubblicazione: (2024)

Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
di: Kim, Taehan, et al.
Pubblicazione: (2026)

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
di: Wasi, Azmine Toushik, et al.
Pubblicazione: (2024)

Systems-Structure-Based Drug Design
di: Zaballa, Vincent D., et al.
Pubblicazione: (2024)

Towards a Better Model with Dual Transformer for Drug Response Prediction
di: Li, Kun, et al.
Pubblicazione: (2022)

Pushing the boundaries of Structure-Based Drug Design through Collaboration with Large Language Models
di: Gao, Bowen, et al.
Pubblicazione: (2025)

FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
di: Zhang, Zaixi, et al.
Pubblicazione: (2024)

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
di: Wang, Dannong, et al.
Pubblicazione: (2024)

A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
di: Rana, Md Masud, et al.
Pubblicazione: (2025)

Artificial Intelligence Approaches for Anti-Addiction Drug Discovery
di: Chen, Dong, et al.
Pubblicazione: (2025)

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
di: Zhou, Xiangxin, et al.
Pubblicazione: (2024)

DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery
di: Li, Kun, et al.
Pubblicazione: (2025)

Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
di: Li, Kun, et al.
Pubblicazione: (2025)

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data
di: Overbeek, Jamie C., et al.
Pubblicazione: (2024)

Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
di: Wang, Zhiwei, et al.
Pubblicazione: (2024)

Utilizing Reinforcement Learning for de novo Drug Design
di: Svensson, Hampus Gummesson, et al.
Pubblicazione: (2023)

Predicting Early and Complete Drug Release from Long-Acting Injectables Using Explainable Machine Learning
di: Robles, Karla N., et al.
Pubblicazione: (2026)

On Novel Approach for Computing Distance based Indices of Anti-tuberculosis Drugs
di: Gunawardhana, D. C., et al.
Pubblicazione: (2024)

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
di: Qiu, Keyue, et al.
Pubblicazione: (2025)

AI-driven Alternative Medicine: A Novel Approach to Drug Discovery and Repurposing
di: Bilokon, Oleksandr, et al.
Pubblicazione: (2024)

Diversity-Aware Reinforcement Learning for de novo Drug Design
di: Svensson, Hampus Gummesson, et al.
Pubblicazione: (2024)

Multi-domain Distribution Learning for De Novo Drug Design
di: Schneuing, Arne, et al.
Pubblicazione: (2025)

Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction Prediction
di: Schuh, Maximilian G., et al.
Pubblicazione: (2024)

Generative molecule evolution using 3D pharmacophore for efficient Structure-Based Drug Design
di: He, Yi, et al.
Pubblicazione: (2025)