Research Articles
Network-Based Inference vs. Similarity Methods for Drug Target Prediction: A Comprehensive Comparative Analysis
This article provides a systematic comparison of Network-Based Inference (NBI) and Similarity Inference methods for predicting drug-target interactions (DTIs), a critical task in drug discovery and repurposing.
Focused vs. Diverse Libraries for Hit Identification: A Strategic Guide for Drug Discovery
Hit identification is a critical, foundational stage in drug discovery, and the choice of screening library profoundly impacts the campaign's success.
Validating Phenotypic Screening Hits: A Chemogenomic Framework for Target Identification and Deconvolution
This article provides a comprehensive guide for researchers and drug development professionals on integrating chemogenomics with phenotypic screening to validate hits and identify mechanisms of action.
Matrix Factorization vs. Deep Learning: A Comprehensive Guide to Drug-Target Interaction Prediction
This article provides a rigorous comparison of matrix factorization and deep learning methodologies for predicting drug-target interactions (DTIs), a critical task in accelerating drug discovery and repositioning.
Validating Mechanism of Action: A Comprehensive Guide to Chemogenomic Profiling in Drug Discovery
This article provides a comprehensive overview of chemogenomic profiling as a powerful system-based approach for validating the mechanism of action (MoA) of small molecules in drug discovery.
Benchmarking Chemogenomic Libraries: Strategies for Navigating Billion-Scale Chemical Spaces in Drug Discovery
This article provides a comprehensive framework for researchers and drug development professionals to benchmark chemogenomic libraries against diverse bioactive compound sets.
Network-Based Inference for Target Prediction: A Comparative Analysis of Methods, Applications, and Performance
This article provides a comprehensive comparative analysis of network-based inference (NBI) methods for predicting drug-target interactions (DTIs) and drug repositioning.
From In Silico to In Vitro: A Practical Framework for Validating Chemogenomic Predictions in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on the critical process of validating chemogenomic predictions using robust in vitro assays.
Machine Learning for Drug-Target Interaction Prediction: Performance Evaluation, Current Challenges, and Future Directions
Accurate prediction of Drug-Target Interactions (DTIs) is a critical, yet challenging, step in accelerating drug discovery and repurposing.
Strategic ADME Optimization in Chemogenomic Libraries: From AI-Driven Design to Clinical Translation
This article provides a comprehensive framework for optimizing Absorption, Distribution, Metabolism, and Excretion (ADME) properties within chemogenomic libraries, which are essential tools for modern phenotypic and target-based drug discovery.