Research Articles
Beyond the Black Box: Achieving Clinical Acceptance for Cancer AI Through Model Interpretability
The integration of Artificial Intelligence (AI) into oncology holds transformative potential for diagnostics, treatment personalization, and drug discovery.
Benchmarking Hybrid Deep Learning Architectures for Genomics: A Roadmap for Enhanced Precision and Clinical Translation
The integration of hybrid deep learning (DL) architectures is revolutionizing genomic analysis, offering unprecedented accuracy in variant calling, tumor subtyping, and biomarker discovery.
AI-Driven Feature Extraction in Genomic Data for Precision Cancer Classification
This article provides a comprehensive overview of advanced computational strategies for extracting meaningful features from high-dimensional genomic data to improve cancer classification.
Signal Processing for Cancerous DNA Pattern Recognition: From Genomic Signals to Clinical Diagnostics
This article provides a comprehensive overview of signal processing (SP) methodologies for identifying cancerous patterns in DNA sequences.
ctDNA Tumor Fraction in Early-Stage Cancer: A Research and Clinical Development Guide
This article provides a comprehensive analysis of circulating tumor DNA (ctDNA) fraction, a critical biomarker in early-stage cancer.
Structure-Based vs. Ligand-Based Pharmacophore Modeling: A Comprehensive Guide for Effective Drug Discovery
This article provides a comparative analysis of structure-based and ligand-based pharmacophore modeling, two pivotal computational strategies in modern drug discovery.
Strategic Training Set Selection in Ligand-Based Pharmacophore Modeling: A Guide for Robust Virtual Screening and Hit Identification
Ligand-based pharmacophore modeling is a cornerstone of computer-aided drug design, particularly for targets with unknown 3D structures.
Pharmacophore vs. Docking-Based Virtual Screening: A Performance Comparison for Drug Discovery
This article provides a comprehensive comparison of pharmacophore-based virtual screening (PBVS) and docking-based virtual screening (DBVS) for researchers and drug development professionals.
Advanced Strategies for Pharmacophore Feature Selection and Weight Optimization in Modern Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on optimizing pharmacophore feature selection and weighting, a critical step for enhancing virtual screening success and designing selective...
Validating Pharmacophore Models with Decoy Sets: A Comprehensive Guide for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on the critical process of validating pharmacophore models using decoy sets.