Cover Image

DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Inoue, Yoshitaka, Song, Tianci, Wang, Xinling, Luna, Augustin, Fu, Tianfan
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Information Retrieval Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction
by: Inoue, Yoshitaka, et al.
Published: (2025)

drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
by: Inoue, Yoshitaka, et al.
Published: (2024)

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors
by: Huang, Ming, et al.
Published: (2025)

BioChemInsight: An Online Platform for Automated Extraction of Chemical Structures and Activity Data from Patents
by: Wang, Zhe, et al.
Published: (2025)

Gene-associated Disease Discovery Powered by Large Language Models
by: Chang, Jiayu, et al.
Published: (2024)

AI-Driven Drug Repurposing through miRNA-mRNA Relation
by: Manoharan, Sharanya, et al.
Published: (2025)

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
by: Xu, Ran, et al.
Published: (2024)

ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
by: Zhang, Shijia, et al.
Published: (2025)

ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining
by: Chen, Kexin, et al.
Published: (2024)

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
by: Jin, Qiao, et al.
Published: (2023)

Bioptic B1: A Target-Agnostic Potency-Based Small Molecules Search Engine
by: Vinogradov, Vlad, et al.
Published: (2024)

Autonomous Agent-Orchestrated Digital Twins (AADT): Leveraging the OpenClaw Framework for State Synchronization in Rare Genetic Disorders
by: Chen, Hongzhuo, et al.
Published: (2026)

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation
by: Zhou, Xiaofan, et al.
Published: (2025)

Unraveling the Biomarker Prospects of High-Altitude Diseases: Insights from Biomolecular Event Network Constructed using Text Mining
by: Bhasuran, Balu, et al.
Published: (2025)

RCSB PDB AI Help Desk: retrieval-augmented generation for protein structure deposition support
by: Chithari, Vivek Reddy, et al.
Published: (2026)

MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
by: Choi, Jihye, et al.
Published: (2024)

SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data
by: Tao, Liang, et al.
Published: (2024)

ALNSynergy: a graph convolutional network with multi-representation alignment for drug synergy prediction
by: Yang, Xinxing, et al.
Published: (2023)

Knowledge Graph Extraction from Biomedical Literature for Alkaptonuria Rare Disease
by: Pham, Giang, et al.
Published: (2026)

MS2MetGAN: Latent-space adversarial training for metabolite-spectrum matching in MS/MS database search
by: Tsai, Meng, et al.
Published: (2026)

A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
by: Song, Yuehua, et al.
Published: (2025)

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
by: Fang, Yin, et al.
Published: (2023)

Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs
by: Haredasht, Fateme Nateghi, et al.
Published: (2025)

OpenAIs HealthBench in Action: Evaluating an LLM-Based Medical Assistant on Realistic Clinical Queries
by: Ravichandran, Sandhanakrishnan, et al.
Published: (2025)

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions
by: Ngo, Tung-Lam, et al.
Published: (2025)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
by: Xu, Bohao, et al.
Published: (2024)

Rank-and-Reason: Multi-Agent Collaboration Accelerates Zero-Shot Protein Mutation Prediction
by: Tan, Yang, et al.
Published: (2026)

MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
by: Li, Shuqi, et al.
Published: (2024)

Drug-disease networks and drug repurposing
by: Polanco, Austin, et al.
Published: (2025)

Utilizing AI and Social Media Analytics to Discover Adverse Side Effects of GLP-1 Receptor Agonists
by: Bartal, Alon, et al.
Published: (2024)

Scalable Scientific Interest Profiling Using Large Language Models
by: Liang, Yilun, et al.
Published: (2025)

DrugR: Optimizing Molecular Drugs through LLM-based Explicit Reasoning
by: Liu, Haoran, et al.
Published: (2026)

An Interactive Platform for Unified Assessment of Drug-Drug Interactions Using Descriptive and Pharmacokinetic Data
by: Diadkina, Nadezhda
Published: (2025)

PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
by: Bal, Rakesh, et al.
Published: (2023)

Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
by: Vefghi, Ali, et al.
Published: (2025)

LLM$^3$-DTI: A Large Language Model and Multi-modal data co-powered framework for Drug-Target Interaction prediction
by: Zhang, Yuhao, et al.
Published: (2025)

DrugAssist: A Large Language Model for Molecule Optimization
by: Ye, Geyan, et al.
Published: (2023)

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
by: Liu, Bin, et al.
Published: (2024)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling
by: Wang, Ruohan, et al.
Published: (2024)