Research Articles
Overcoming False Positives in Virtual Screening: AI and Advanced Strategies for Accelerating Cancer Drug Discovery
This article addresses the critical challenge of false positives in structure-based virtual screening, a major bottleneck in discovering novel oncology therapeutics.
Virtual Screening in Anticancer Drug Discovery: Methods, AI Applications, and Success Stories
This article provides a comprehensive overview of virtual screening (VS) and its transformative role in anticancer drug discovery.
AI in Oncology Drug Development: Transforming Discovery from Target to Trial in 2025
This article provides a comprehensive analysis of the transformative role of Artificial Intelligence (AI) across the oncology drug development pipeline.
Structure-Based Drug Design for Cancer Targets: Principles, AI-Driven Methods, and Clinical Applications
This article provides a comprehensive overview of Structure-Based Drug Design (SBDD) and its pivotal role in modern oncology drug discovery.
Revolutionizing Oncology: A Comprehensive Guide to Computer-Aided Drug Design (CADD) for Cancer Therapeutics
This article provides a comprehensive overview of Computer-Aided Drug Design (CADD) and its transformative role in accelerating oncology drug discovery.
qPCR vs IHC for HER2 Status Determination: A Comprehensive Guide for Precision Oncology
This article provides a comprehensive comparison between reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) for determining HER2 status in breast cancer.
Validating RNA-seq with RT-qPCR in Cancer Research: A Comprehensive Guide from Bench to Bedside
This article provides a definitive guide for researchers and drug development professionals on validating RNA-seq findings with RT-qPCR in cancer research.
Molecular Alignment in 3D-QSAR: A Comparative Guide to Methods, Applications, and Best Practices for Drug Discovery
This article provides a comprehensive analysis of molecular alignment methodologies central to 3D-QSAR, a critical technique in modern computer-aided drug design.
Beyond R²: A Comprehensive Guide to Statistical Validation for Robust Anticancer QSAR Models
This article provides a comprehensive framework for developing and validating statistically robust Quantitative Structure-Activity Relationship (QSAR) models in anticancer research.
Integrating Molecular Dynamics Simulations to Validate and Enhance 3D-QSAR Predictions in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on the integrated use of Molecular Dynamics (MD) simulations to validate and refine 3D-Quantitative Structure-Activity Relationship (QSAR) predictions.