DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Zerui, Wan, Yuwei, Yan, Siyu, Matsuda, Yudai, Xie, Tong, Hoex, Bram, Song, Linqi
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search
by: Ren, Tao, et al.
Published: (2024)

The Road to Green Development: Vertical Spillovers in the Exports of Environmental Goods by Enterprises
by: Kun Li, et al.
Published: (2025)

Finite-Difference Solution Ansatz approach in Least-Squares Monte Carlo
by: Huo, Jiawei
Published: (2023)

From Tokens to Materials: Leveraging Language Models for Scientific Discovery
by: Wan, Yuwei, et al.
Published: (2024)

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
by: Hu, Yunhai, et al.
Published: (2025)

A multi-objective optimization framework for terrain modification based on a combined hydrological and earthwork cost-benefit
by: Xu, Hanwen, et al.
Published: (2024)

A Prior-Predictive Monte Carlo Framework for Pricing Complex Data Products in Data-Poor Markets
by: Siemiatkowski, Adam L., et al.
Published: (2026)

Leave-one-out least squares Monte Carlo algorithm for pricing Bermudan options
by: Woo, Jeechul, et al.
Published: (2018)

Quantum Monte Carlo algorithm for option pricing and its complexity analysis
by: Chen, Jianjun, et al.
Published: (2023)

Monte-Carlo Option Pricing in Quantum Parallel
by: Scriba, Robert, et al.
Published: (2025)

GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection
by: Kadam, Prashank
Published: (2024)

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

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning
by: Wu, Mengsong, et al.
Published: (2025)

Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics
by: Lesniewski, Andrew, et al.
Published: (2024)

Solving contact problems using Fiber Monte Carlo
by: Wang, Xinyu, et al.
Published: (2025)

Pricing time-capped American options using Least Squares Monte Carlo method
by: Stȩpniak, Paweł, et al.
Published: (2025)

Multilevel Monte Carlo in Sample Average Approximation: Convergence, Complexity and Application
by: Sinha, Devang, et al.
Published: (2024)

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

Multi-fidelity Hamiltonian Monte Carlo
by: Patel, Dhruv V., et al.
Published: (2024)

Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
by: Aleksandar Arandjelović, et al.
Published: (2026)

2D implementation of Kinetic-diffusion Monte Carlo in Eiron
by: Lappi, Oskar, et al.
Published: (2025)

An Ising Machine Formulation for Design Updates in Topology Optimization of Flow Channels
by: Suzuki, Yudai, et al.
Published: (2024)

Prediction of Cryptocurrency Prices through a Path Dependent Monte Carlo Simulation
by: Singh, Ayush, et al.
Published: (2024)

DEPLOYERS: An agent based modeling tool for multi country real world data
by: Jaraiz, Martin, et al.
Published: (2024)

Scale-invariant Monte Carlo and multilevel Monte Carlo estimation of mean and variance: An application to simulation of linear elastic bone tissue
by: Shivanand, Sharana Kumar, et al.
Published: (2021)

P1GPT: a multi-agent LLM workflow module for multi-modal financial information analysis
by: Lu, Chen-Che, et al.
Published: (2025)

Accelerated, Memory-Efficient Far-Field Scattering Computation with Monte Carlo SBR
by: Audia, Samuel, et al.
Published: (2025)

Lifted Heston Model: Efficient Monte Carlo Simulation with Large Time Steps
by: Zaugg, Nicola F., et al.
Published: (2025)

An Alternative to Stride-Based RNG for Monte Carlo Transport
by: Cuneo, Braxton S., et al.
Published: (2024)

A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
by: Rinkens, Aricia, et al.
Published: (2026)

A Two-Step Longstaff Schwartz Monte Carlo Approach to Game Option Pricing
by: Wang, Ce
Published: (2024)

RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction
by: Zhou, Changjian, et al.
Published: (2024)

Efficient Monte Carlo Valuation of Corporate Bonds in Financial Networks
by: Ahn, Dohyun, et al.
Published: (2026)

Non‐executive directors and corporate risk‐taking: Evidence from China
by: Siyu Zhang, et al.
Published: (2024)

Cost-Benefit Analysis using Modular Dynamic Fault Tree Analysis and Monte Carlo Simulations for Condition-based Maintenance of Unmanned Systems
by: Southgate, Joseph M., et al.
Published: (2024)

S&P 500 Trend Prediction
by: Yu, Shasha, et al.
Published: (2024)

Predictable Relative Forward Performance Processes: Multi-Agent and Mean Field Games for Portfolio Management
by: Liang, Gechun, et al.
Published: (2023)

General multilevel Monte Carlo methods for pricing discretely monitored Asian options
by: Kahale, Nabil
Published: (2018)

Neural Markov chain Monte Carlo: Bayesian inversion via normalizing flows and variational autoencoders
by: Bottacini, Giacomo, et al.
Published: (2026)

An efficient framework for computing sensitivity of modal-related structural dynamic characteristics with multi-parameters
by: Huang, Kai, et al.
Published: (2025)