Research Articles
Comparative Method Selection for Biopharmaceuticals: Strategies for Analytical Development, Validation, and Optimization
This article provides a comprehensive framework for researchers, scientists, and drug development professionals tasked with selecting and validating analytical methods for complex biopharmaceuticals.
Method Verification vs. Full Validation: A Strategic Guide for Compendial Methods in Drug Development
This article provides drug development scientists and researchers with a comprehensive framework for navigating the critical decision between method verification and full validation for compendial procedures.
Analytical Method Validation and Comparison: Principles, Applications, and Lifecycle Management for Drug Development
This article provides a comprehensive guide to analytical method validation and comparison, tailored for researchers, scientists, and drug development professionals.
Comparative Method Selection in 2025: A Practical Guide to New FDA, EMA, and ICH Guidelines
This article provides drug development professionals with a timely analysis of significant 2025 regulatory shifts from the FDA, EMA, and ICH, focusing on the selection of comparative methods.
Strategies for Reducing Computational Overhead in Surrogate-Assisted Optimization for Biomedical Research
This article explores advanced strategies to overcome the computational overhead inherent in surrogate-assisted optimization, a critical challenge for researchers and drug development professionals relying on costly simulations and complex models.
Divide-and-Conquer Strategies for High-Dimensional Chemical Optimization: From Molecular Discovery to Clinical Applications
This article provides a comprehensive overview of divide-and-conquer strategies for tackling high-dimensional optimization problems in chemical and biomedical research.
CREST vs GOAT: A Comprehensive Comparison of Conformational Search Algorithms for Drug Discovery
This article provides a detailed comparative analysis of two prominent conformational search algorithms, CREST (Conformer-Rotamer Ensemble Sampling Tool) and GOAT (Global Optimization Algorithm), specifically tailored for researchers and professionals in...
Machine Learning for Potential Energy Surfaces: A Comprehensive Guide for Computational Researchers and Drug Developers
This article provides a comprehensive overview of how Machine Learning (ML) is revolutionizing the exploration of Potential Energy Surfaces (PES), a cornerstone for understanding molecular interactions and dynamics.
Overcoming the Curse of Dimensionality: Advanced Strategies for Robust Surrogate Models in High-Dimensional Biomedical Research
This article addresses the critical challenge of surrogate model inaccuracy in high-dimensional problems, a pivotal concern for researchers and professionals in drug development and biomedical science.
Systematic Error Decoded: A Practical Guide to Evaluating Constant and Proportional Errors in Analytical Methods
This article provides researchers, scientists, and drug development professionals with a comprehensive framework for understanding, identifying, and correcting systematic errors in analytical methods.