Frontiers in Cancer Chemistry Research

Discover cutting-edge studies on carcinogenesis, biomarkers, and targeted therapeutic approaches

Research Articles

Optimizing CoMSIA Field Combinations for Robust 3D-QSAR Models in Drug Discovery

This article provides a comprehensive guide for computational chemists and drug development professionals on optimizing Comparative Molecular Similarity Indices Analysis (CoMSIA) field combinations to enhance model performance.

Emily Perry
Nov 27, 2025

Overcoming the Activity Cliff Challenge: Strategies for Robust 3D-QSAR Prediction

Activity cliffs (ACs), where minute structural modifications cause drastic potency shifts, represent a significant source of prediction error and a central challenge for 3D-QSAR modeling in drug discovery.

Benjamin Bennett
Nov 27, 2025

Combating Overfitting in 3D-QSAR Models: Robust Strategies for Anticancer Drug Discovery

Overfitting presents a significant challenge in 3D-QSAR modeling, often leading to non-predictive models and failed optimizations in anticancer drug discovery.

Joseph James
Nov 27, 2025

Optimizing PLS Components for Robust 3D-QSAR Model Validation in Drug Discovery

This article provides a comprehensive guide for researchers and drug development professionals on optimizing Partial Least Squares (PLS) components to enhance the predictive power and reliability of 3D-QSAR models.

Anna Long
Nov 27, 2025

Overcoming the Activity Cliff Challenge: Advanced 3D-QSAR Strategies for Robust Drug Discovery

Activity cliffs (ACs), where minute structural modifications cause drastic potency shifts, represent a critical source of prediction error in quantitative structure-activity relationship (QSAR) modeling, often leading to failures in lead...

Anna Long
Nov 27, 2025

Advanced 3D-QSAR and Virtual Screening Strategies for Novel Glioblastoma Therapeutics

This article provides a comprehensive exploration of virtual screening utilizing 3D-QSAR models for the discovery of glioblastoma therapeutics.

Madelyn Parker
Nov 27, 2025

A Comprehensive CoMFA and CoMSIA Protocol for Designing Pteridinone Derivatives as PLK1 Inhibitors in Prostate Cancer

This article provides a detailed computational protocol for applying Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) to design and optimize pteridinone-based Polo-like kinase 1 (PLK1)...

James Parker
Nov 27, 2025

Harnessing 3D-QSAR for Anticancer Drug Discovery: A Computational Guide for Natural Product Optimization

This article provides a comprehensive guide to the foundational principles and advanced applications of Three-Dimensional Quantitative Structure-Activity Relationship (3D-QSAR) modeling in the discovery and optimization of natural product-based anticancer compounds.

Owen Rogers
Nov 27, 2025

Getting Started with Field-Based 3D-QSAR for Tumor Inhibitors: A Practical Guide for Drug Developers

This article provides a comprehensive guide for researchers and drug development professionals on implementing field-based 3D-QSAR to accelerate the discovery of novel tumor inhibitors.

Logan Murphy
Nov 27, 2025

Molecular Descriptors in Cancer QSAR: From Fundamentals to Clinical Applications in Drug Discovery

This comprehensive review elucidates the critical role of molecular descriptors in Quantitative Structure-Activity Relationship (QSAR) studies for anticancer drug development.

Bella Sanders
Nov 27, 2025

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