Cover Image

Advancing Drug Development Through Strategic Cell Line and Compound Selection Using Drug Response Profiles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdel-Rehim, Abbi, Tate, Emma, Soldatova, Larisa N., King, Ross D.
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
by: Abdel-Rehim, Abbi, et al.
Published: (2024)

Personalised Medicine: Establishing predictive machine learning models for drug responses in patient derived cell culture
by: Abdel-Rehim, Abbi, et al.
Published: (2024)

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

SynCell: Contextualized Drug Synergy Prediction
by: Peng, Keqin, et al.
Published: (2025)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
by: Feng, Tianshu, et al.
Published: (2024)

Strategic Control of Drug-Resistant HIV: Multi-Strain Modeling with Diagnosis, Adherence, and Treatment Switching
by: Poonia, Ashish, et al.
Published: (2025)

MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
by: Eckmann, Peter, et al.
Published: (2024)

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
by: Sheikholeslami, Mahsa, et al.
Published: (2024)

scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
by: Liang, Zhaokang, et al.
Published: (2025)

Recent Developments in GNNs for Drug Discovery
by: Fang, Zhengyu, 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)

Drug discovery guided by maximum drug likeness
by: Zhu, Hao-Yu, et al.
Published: (2025)

scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025)

Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations
by: Schwehr, Zachary
Published: (2024)

Drug Resistance Predictions Based on a Directed Flag Transformer
by: Chen, Dong, et al.
Published: (2024)

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

Integrating Single-Cell Foundation Models with Graph Neural Networks for Drug Response Prediction
by: Rossner, Till, et al.
Published: (2025)

Domain Knowledge Infused Conditional Generative Models for Accelerating Drug Discovery
by: Hu, Bing, et al.
Published: (2025)

Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)

Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)

HyperADRs: A Hierarchical Hypergraph Framework for Drug-Gene-ADR Prediction
by: Cai, Ze, et al.
Published: (2025)

Drug-target interaction prediction by integrating heterogeneous information with mutual attention network
by: Zhang, Yuanyuan, et al.
Published: (2024)

Mitosis, Cytoskeleton Regulation, and Drug Resistance in Receptor Triple Negative Breast Cancer
by: Matov, Alexandre
Published: (2024)

HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
by: Gharizadeh, Ali, et al.
Published: (2024)

MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
by: Fan, Kunyi, et al.
Published: (2026)

A Morse Transform for Drug Discovery
by: Tanaka, Alexander M., et al.
Published: (2025)

Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology using Physics-Informed Neural Networks
by: Chiu, Ching-En, et al.
Published: (2024)

Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
by: Baker, Christopher, et al.
Published: (2026)

A 3D Pancreatic Cancer Model with Integrated Optical Sensors for Noninvasive Metabolism Monitoring and Drug Screening
by: Siciliano, Anna Chiara, et al.
Published: (2024)

LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)

Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners
by: Rasul, Hezha O., et al.
Published: (2024)

Beyond SMILES: Evaluating Agentic Systems for Drug Discovery
by: Wijaya, Edward
Published: (2026)

Predicting the Risk of Ischemic Stroke in Patients with Atrial Fibrillation using Heterogeneous Drug-protein-disease Network-based Deep Learning
by: Lyu, Zhiheng, et al.
Published: (2024)

Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
by: Jayagopal, Aishwarya, et al.
Published: (2024)

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

Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
by: Zhang, Xinnan, et al.
Published: (2024)

Transcriptome-Conditioned Personalized De Novo Drug Generation for AML Using Metaheuristic Assembly and Target-Driven Filtering
by: Elafifi, Abdullah G., et al.
Published: (2025)

Drug Interaction Vectors Neural Network: DrIVeNN
by: Wang, Natalie, et al.
Published: (2023)

Pharmacophore-Guided Generative Design of Novel Drug-Like Molecules
by: Podplutova, Ekaterina, et al.
Published: (2025)

CellProfiler plugins -- an easy image analysis platform integration for containers and Python tools
by: Weisbart, Erin, et al.
Published: (2023)