Research Articles
Accelerating Drug Discovery: A Comprehensive Guide to Active Learning for Virtual Screening Optimization
This article provides a detailed exploration of active learning (AL) strategies for optimizing virtual screening (VS) in early-stage drug discovery.
From Clinical Vignettes to Valid Evidence: A Practical Guide to Assessing Treatment Regimen Accuracy in EHR Data
This article provides a comprehensive framework for researchers and drug development professionals aiming to assess the accuracy of real-world treatment regimens derived from electronic health records (EHR).
Enhancing Precision Medicine: A Comprehensive Accuracy Assessment of Deep Learning with Metaheuristic Gene Selection
This article provides a detailed exploration and accuracy assessment of hybrid methodologies that combine deep learning architectures with metaheuristic algorithms for high-dimensional gene selection in biomedical research.
Navigating the Landscape: How Waddington's Epigenetic Model is Revolutionizing Cancer Reversion Strategies
This article explores the Waddington epigenetic landscape as a foundational framework for understanding and inducing cancer reversion.
The SHAFTS Method: A Comprehensive Guide to 3D Molecular Similarity for Virtual Screening in Drug Discovery
This article provides a detailed exploration of the SHAFTS (SHApe-FeaTure Similarity) method for 3D molecular similarity searching in virtual screening.
RNA Interference Cancer Reversion: A Non-Genomic Therapeutic Strategy Without DNA Editing
This article explores RNA interference (RNAi) as a powerful, reversible, and non-mutagenic approach to cancer reversion.
Validating Cancer Protein Complex Stability: A Comprehensive Guide to RMSD and RMSF Analysis
This article provides researchers, scientists, and drug development professionals with a comprehensive framework for utilizing Root Mean Square Deviation (RMSD) and Root Mean Square Fluctuation (RMSF) analyses to validate the...
RECIST 1.1 in Targeted Therapy: A Comprehensive Guide for Clinical Researchers and Drug Developers
This article provides a detailed examination of the RECIST (Response Evaluation Criteria In Solid Tumors) 1.1 framework for evaluating tumor response in clinical trials of targeted cancer therapies.
Revolutionizing Biomarker Discovery: The RBNRO-DE Algorithm for High-Dimensional Gene Selection
This article provides a comprehensive guide to the Ranked Biomarker and Noise Reduction Optimization with Differential Evolution (RBNRO-DE) algorithm for gene selection in high-dimensional biological data.
Harnessing PK/PD Modeling: A Comprehensive Guide to Predicting Anticancer Treatment Response
This article provides a detailed exploration of Pharmacokinetic/Pharmacodynamic (PK/PD) modeling as a cornerstone of modern oncology drug development and personalized treatment.