This article provides researchers, scientists, and drug development professionals with a comprehensive analysis of Life Cycle Assessment (LCA) methodologies for comparing biocatalytic and chemical manufacturing processes.
This article provides a comprehensive framework for researchers and drug development professionals to rigorously validate machine learning predictions of enzyme activity.
This article provides a critical evaluation of immobilized enzyme performance compared to their free counterparts, tailored for researchers and drug development professionals.
This article provides a comprehensive analysis of the current state and critical challenges in benchmarking de novo designed enzymes against their natural counterparts.
This article provides a comprehensive comparison of directed evolution and rational design, the two dominant strategies in protein engineering.
This article explores the critical role of optimizing intrinsic electric fields for the design of efficient artificial enzymes.
This article provides a comprehensive resource for researchers and drug development professionals tackling the critical challenges of enzyme solubility and aggregation.
This article provides a comprehensive overview of how machine learning (ML) is revolutionizing the navigation of protein fitness landscapes to accelerate protein engineering.
This article provides a comprehensive overview of dynamic regulation strategies for metabolic pathways in engineered microbial cells, a pivotal advancement in synthetic biology and metabolic engineering.
This article provides a comprehensive overview of modern strategies for designing protein stability to prevent misfolding and aggregation, a key pathological mechanism in neurodegenerative diseases and loss-of-function disorders.