Image de couverture de livre

A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Hongzhi, Gong, Xiuwen, Pan, Shirui, Wu, Jia, Du, Bo, Hu, Wenbin
Format:	Preprint
Publié:	2024
Sujets:	Biomolecules Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
par: Li, Kun, et autres
Publié: (2025)

A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
par: Hu, Junwei, et autres
Publié: (2024)

Towards a Better Model with Dual Transformer for Drug Response Prediction
par: Li, Kun, et autres
Publié: (2022)

Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks
par: Ibragimova, Regina, et autres
Publié: (2024)

Rethinking Drug-Drug Interaction Modeling as Generalizable Relation Learning
par: Xu, Dong, et autres
Publié: (2026)

DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing
par: Lu, Yingzhou, et autres
Publié: (2024)

ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion
par: Li, Minghui, et autres
Publié: (2024)

Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
par: Kim, Taehan, et autres
Publié: (2026)

Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction
par: Lian, Xiaoqing, et autres
Publié: (2025)

DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery
par: Li, Kun, et autres
Publié: (2025)

Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
par: Du, Haotong, et autres
Publié: (2024)

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
par: Wang, Yingying, et autres
Publié: (2024)

A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
par: Rana, Md Masud, et autres
Publié: (2025)

ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
par: Wang, Ziyan, et autres
Publié: (2024)

PCEvo: Path-Consistent Molecular Representation via Virtual Evolutionary
par: Li, Kun, et autres
Publié: (2026)

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
par: Zhou, Xiangxin, et autres
Publié: (2024)

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
par: Meng, Zhaohan, et autres
Publié: (2024)

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

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

Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints
par: Gil-Sorribes, Manel, et autres
Publié: (2025)

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors
par: Pei, Qizhi, et autres
Publié: (2024)

A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
par: Shamami, Maryam Abdollahi, et autres
Publié: (2025)

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

SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction
par: Huang, Yanwen, et autres
Publié: (2024)

Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
par: Yang, Ziyi, et autres
Publié: (2026)

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
par: Abdullahi, Tassallah, et autres
Publié: (2025)

Regressor-free Molecule Generation to Support Drug Response Prediction
par: Li, Kun, et autres
Publié: (2024)

Learning Hierarchical Interaction for Accurate Molecular Property Prediction
par: Hong, Huiyang, et autres
Publié: (2025)

Fragment-Masked Diffusion for Molecular Optimization
par: Li, Kun, et autres
Publié: (2024)

Structure-based Drug Design with Equivariant Diffusion Models
par: Schneuing, Arne, et autres
Publié: (2022)

Can Molecular Evolution Mechanism Enhance Molecular Representation?
par: Li, Kun, et autres
Publié: (2025)

Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach
par: Aqeel, Imra, et autres
Publié: (2023)

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
par: Qu, Yanru, et autres
Publié: (2024)

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

Graph Neural Networks in Modern AI-aided Drug Discovery
par: Zhang, Odin, et autres
Publié: (2025)

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

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
par: Han, Rong, et autres
Publié: (2024)

A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery
par: Zhu, Yiheng, et autres
Publié: (2025)

log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling
par: Hu, Xiao, et autres
Publié: (2024)

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