Copertina

Deep Reinforcement Learning for Modelling Protein Complexes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gao, Ziqi, Feng, Tao, You, Jiaxuan, Zi, Chenyi, Zhou, Yan, Zhang, Chen, Li, Jia
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computational Engineering, Finance, and Science Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
di: Song, Zhenqiao, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning in Factor Investment
di: Liu, Junlin
Pubblicazione: (2025)

GenCP: Towards Generative Modeling Paradigm of Coupled Physics
di: Gao, Tianrun, et al.
Pubblicazione: (2026)

Leveraging Multi-modal Representations to Predict Protein Melting Temperatures
di: Zhang, Daiheng, et al.
Pubblicazione: (2024)

Large and Deep Factor Models
di: Kelly, Bryan, et al.
Pubblicazione: (2024)

Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
di: Tavakoli, Amin, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning Based Toolpath Generation for Thermal Uniformity in Laser Powder Bed Fusion Process
di: Qin, Mian, et al.
Pubblicazione: (2024)

Realistic Market Impact Modeling for Reinforcement Learning Trading Environments
di: Abbade, Lucas Riera, et al.
Pubblicazione: (2026)

Protein Multimer Structure Prediction via Prompt Learning
di: Gao, Ziqi, et al.
Pubblicazione: (2024)

Aligning Large Language Models and Geometric Deep Models for Protein Representation
di: Shu, Dong, et al.
Pubblicazione: (2024)

The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms
di: Thoi, Trang, et al.
Pubblicazione: (2026)

Kinematics Modeling of Peroxy Free Radicals: A Deep Reinforcement Learning Approach
di: Nayak, Subhadarsi, et al.
Pubblicazione: (2024)

COBRA: Multimodal Sensing Deep Learning Framework for Remote Chronic Obesity Management via Wrist-Worn Activity Monitoring
di: Shen, Zhengyang, et al.
Pubblicazione: (2025)

ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
di: Zheng, Kangjie, et al.
Pubblicazione: (2024)

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
di: Wang, Cong, et al.
Pubblicazione: (2024)

Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture
di: Zhang, Linwei, et al.
Pubblicazione: (2025)

Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
di: Choudhary, Himanshu, et al.
Pubblicazione: (2025)

Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?
di: Chen, Rex, et al.
Pubblicazione: (2023)

The Role of Deep Learning in Financial Asset Management: A Systematic Review
di: Reis, Pedro, et al.
Pubblicazione: (2025)

Transformer-Based Deep Learning Model for Bored Pile Load-Deformation Prediction in Bangkok Subsoil
di: Youwai, Sompote, et al.
Pubblicazione: (2023)

SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment
di: Wang, Yinkai, et al.
Pubblicazione: (2026)

Deep Learning Models Meet Financial Data Modalities
di: Khubiev, Kasymkhan, et al.
Pubblicazione: (2025)

Laser Scan Path Design for Controlled Microstructure in Additive Manufacturing with Integrated Reduced-Order Phase-Field Modeling and Deep Reinforcement Learning
di: Twumasi, Augustine, et al.
Pubblicazione: (2025)

Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
di: Yuan, Biao, et al.
Pubblicazione: (2024)

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models
di: Liu, Lihang, et al.
Pubblicazione: (2023)

Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization
di: Li, Tao, et al.
Pubblicazione: (2026)

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
di: Cheng, Qishuo, et al.
Pubblicazione: (2024)

Geometric Deep Learning for Structure-Based Drug Design: A Survey
di: Zhang, Zaixi, et al.
Pubblicazione: (2023)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
di: Cheng, Yu, et al.
Pubblicazione: (2025)

Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning
di: Jimenez-Roa, Lisandro A., et al.
Pubblicazione: (2024)

Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
di: Seurin, Paul, et al.
Pubblicazione: (2023)

COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs
di: Li, Xinhe, et al.
Pubblicazione: (2024)

Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life
di: Li, Pei, et al.
Pubblicazione: (2024)

De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
di: Hu, Xiuyuan, et al.
Pubblicazione: (2023)

ResNLS: An Improved Model for Stock Price Forecasting
di: Jia, Yuanzhe, et al.
Pubblicazione: (2023)

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
di: Shi, Xinyu, et al.
Pubblicazione: (2024)

Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks
di: Chen, Muhao, et al.
Pubblicazione: (2024)

RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
di: Dai, Weichen, et al.
Pubblicazione: (2025)

Design Editing for Offline Model-based Optimization
di: Yuan, Ye, et al.
Pubblicazione: (2024)

Storm Surge in Color: RGB-Encoded Physics-Aware Deep Learning for Storm Surge Forecasting
di: Zhao, Jinpai, et al.
Pubblicazione: (2025)