Research Articles
Strategies for Reducing Metabolic Burden in Whole-Cell Biocatalysts: Enhancing Robustness and Bioproduction
Whole-cell biocatalysts are powerful tools for sustainable bioproduction in pharmaceuticals and industrial chemistry.
Advanced Strategies for Optimizing Enzyme Thermostability in Biomedical Applications
This article provides a comprehensive guide for researchers and drug development professionals on optimizing enzyme stability at high temperatures.
Engineering Transaminases for Sustainable Chiral Amine Synthesis: Green Strategies for Pharmaceutical Development
This article explores the cutting-edge application of ω-transaminases as powerful biocatalysts for the sustainable production of chiral amines, which are crucial building blocks for pharmaceuticals and agrochemicals.
Multi-Enzyme Cascade Reactions: Design, Optimization, and Biomedical Applications
This article provides a comprehensive overview of the design and application of multi-enzyme cascade reactions for researchers, scientists, and drug development professionals.
Chemoenzymatic Synthesis of Active Pharmaceutical Ingredients: A Sustainable Strategy for Modern Drug Development
This article provides a comprehensive overview of the rapidly evolving field of chemoenzymatic synthesis for Active Pharmaceutical Ingredients (APIs).
High-Throughput Screening of Enzyme Variants: From Machine Learning to Functional Validation
This comprehensive review explores the cutting-edge methodologies and applications in high-throughput screening of enzyme variants, a critical tool in modern drug discovery and protein engineering.
Advanced Enzyme Immobilization Techniques for Continuous-Flow Biocatalysis in Pharmaceutical Development
This article provides a comprehensive analysis of modern enzyme immobilization strategies tailored for continuous-flow systems, a key technology for sustainable and efficient pharmaceutical synthesis.
Machine Learning in Biocatalysis: AI-Driven Discovery and Optimization of Enzymes for Biomedical Applications
This article provides a comprehensive overview of the transformative role of machine learning (ML) in biocatalyst discovery and optimization for researchers, scientists, and drug development professionals.
Directed Evolution in Enzyme Engineering: Methodologies, Applications, and AI-Driven Future
Directed evolution stands as a cornerstone of modern protein engineering, enabling the rapid development of tailored biocatalysts without requiring exhaustive prior knowledge of protein structure.
Rational Design of Enzyme Active Sites: From Foundational Principles to AI-Driven Breakthroughs in Drug Development
This article provides a comprehensive overview of rational design strategies for engineering enzyme active sites, a critical methodology for creating tailored biocatalysts.