Research Articles
Troubleshooting Molecular Descriptor Selection in QSAR: A Guide to Robust and Interpretable Models
This article provides a comprehensive guide for researchers and drug development professionals on overcoming challenges in molecular descriptor selection for Quantitative Structure-Activity Relationship (QSAR) modeling.
Beyond R²: Advanced Strategies for Robust External Validation of Cancer QSAR Models
This article addresses the critical challenge of external validation in Quantitative Structure-Activity Relationship (QSAR) models for cancer research.
Activity Atlas Models in Oncology: A Guide to 3D SAR Analysis for Cancer Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on generating and applying Activity Atlas models for Structure-Activity Relationship (SAR) analysis in oncology.
Pharmacophore-Based Virtual Screening for Breast Cancer Targets: A Comprehensive Guide for Drug Discovery
This article provides a comprehensive overview of pharmacophore-based virtual screening (PBVS) and its pivotal role in accelerating the discovery of novel therapeutics for breast cancer.
Integrating 3D-QSAR and AI for Advanced ADMET Prediction in Cancer Drug Design
This article explores the integration of three-dimensional Quantitative Structure-Activity Relationship (3D-QSAR) modeling and Artificial Intelligence (AI) for predicting the Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties of anticancer drug...
Overcoming Molecular Alignment Challenges in CoMFA Studies: A Guide for Robust 3D-QSAR Modeling
Molecular alignment remains a critical and challenging step in Comparative Molecular Field Analysis (CoMFA), directly impacting the robustness and predictive power of 3D-QSAR models.
Integrating 3D-QSAR and Molecular Docking for Novel Tubulin Inhibitors: A Computational Framework for Anticancer Drug Design
This article provides a comprehensive guide for researchers and drug development professionals on the integrated application of 3D-QSAR and molecular docking for designing potent tubulin inhibitors.
Leveraging PLS Regression in 3D-QSAR Modeling for Advanced MCF-7 Breast Cancer Drug Discovery
This article provides a comprehensive overview of the application of Partial Least Squares (PLS) regression in three-dimensional Quantitative Structure-Activity Relationship (3D-QSAR) modeling for the discovery of novel inhibitors targeting the...
Advancing Anticancer Drug Discovery: A Comprehensive Guide to PLK1 Inhibitor Development Using 3D-QSAR Models
This article provides a comprehensive resource for researchers and drug development professionals exploring Polo-like kinase 1 (PLK1) inhibitors through 3D-QSAR modeling.
Molecular Alignment in 3D-QSAR: Advanced Techniques for Accelerating Anticancer Drug Discovery
This article provides a comprehensive exploration of molecular alignment techniques, a critical and sensitive step in developing robust three-dimensional Quantitative Structure-Activity Relationship (3D-QSAR) models for anticancer research.