Imagen de Portada

Predicting Early and Complete Drug Release from Long-Acting Injectables Using Explainable Machine Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Robles, Karla N., Samad, Manar D.
Formato:	Preprint
Publicado:	2026
Materias:	Biomolecules Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability
por: Kyro, Gregory W., et al.
Publicado: (2024)

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

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

ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
por: Wang, Ziyan, et al.
Publicado: (2024)

Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
por: Sturm, Hunter, et al.
Publicado: (2023)

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

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

Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach
por: Aqeel, Imra, et al.
Publicado: (2023)

Drug Release Modeling using Physics-Informed Neural Networks
por: Qureshi, Daanish Aleem, et al.
Publicado: (2026)

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

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

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

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

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

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

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

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

Towards Precision Protein-Ligand Affinity Prediction Benchmark: A Complete and Modification-Aware DAVIS Dataset
por: Wu, Ming-Hsiu, et al.
Publicado: (2025)

Scaffold-Based Multi-Objective Drug Candidate Optimization
por: Kruel, Agustin, et al.
Publicado: (2022)

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

Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
por: Zhou, Yifan, et al.
Publicado: (2023)

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

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

Quantum Long Short-Term Memory for Drug Discovery
por: Zhang, Liang, et al.
Publicado: (2024)

MUDiff: Unified Diffusion for Complete Molecule Generation
por: Hua, Chenqing, et al.
Publicado: (2023)

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
por: Majewski, Maciej, et al.
Publicado: (2022)

Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
por: Wang, Yingheng, et al.
Publicado: (2024)

Fast Polypharmacy Side Effect Prediction Using Tensor Factorisation
por: Lloyd, Oliver, et al.
Publicado: (2024)

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

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

Autonomous Drug Design with Multi-Armed Bandits
por: Svensson, Hampus Gummesson, et al.
Publicado: (2022)

Generative Flows on Synthetic Pathway for Drug Design
por: Seo, Seonghwan, et al.
Publicado: (2024)

Deep Learning for Protein Complex Prediction and Design
por: Xie, Ziwei
Publicado: (2026)

Structure-based Drug Design with Equivariant Diffusion Models
por: Schneuing, Arne, et al.
Publicado: (2022)

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

Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction
por: Lu, Xiaohua, et al.
Publicado: (2023)

Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
por: Guo, Jeff, et al.
Publicado: (2023)

Multi-Scale Representation Learning for Protein Fitness Prediction
por: Zhang, Zuobai, et al.
Publicado: (2024)