Research Articles
A Comprehensive Framework for Assessing Pharmacophore Model Performance in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on evaluating pharmacophore model performance.
Ligand-Based vs. Structure-Based Virtual Screening: A Modern Guide for Drug Discovery
Virtual screening is a cornerstone of modern drug discovery, offering a cost-effective and efficient strategy to navigate vast chemical spaces.
Beyond R²: A Modern Framework for Validating QSAR Model Predictive Power in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on the critical process of validating Quantitative Structure-Activity Relationship (QSAR) models.
Striking the Balance: Strategies for Novel yet Predictive Ligand-Based Drug Design
Ligand-Based Drug Design (LBDD) is a cornerstone of modern drug discovery, particularly when the 3D structure of a biological target is unknown.
Scaffold Hopping for Metabolic Stability: Strategies and Applications in Drug Design
This article provides a comprehensive overview of scaffold hopping as a powerful medicinal chemistry strategy to address metabolic instability in drug candidates.
Building Robust Pharmacophore Models: From Consensus Methods to AI-Driven Validation
This article provides a comprehensive guide for researchers and drug development professionals on enhancing the robustness of pharmacophore models.
Combating Overfitting in QSAR Models: Robust Machine Learning Strategies for Reliable Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on managing overfitting in machine learning Quantitative Structure-Activity Relationship (QSAR) modeling.
Selecting Molecular Descriptors for QSAR: A Strategic Guide from Foundations to AI-Enhanced Validation
This article provides a comprehensive guide for researchers and drug development professionals on the critical process of selecting molecular descriptors for Quantitative Structure-Activity Relationship (QSAR) modeling.
Optimizing Ligand-Based Virtual Screening: Strategies to Boost Performance and Hit Rates in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on optimizing ligand-based virtual screening (LBVS) performance.
Overcoming Data Quality Issues in LBDD: Strategies for Robust Drug Discovery
This article addresses the critical challenge of data quality in Ligand-Based Drug Design (LBDD), a methodology essential for developing therapeutics when target protein structures are unavailable.