Research Articles
Boosting De Novo Enzymes: Computational Strategies to Overcome Low Catalytic Efficiency in Protein Design
For researchers and drug development professionals, this article provides a comprehensive roadmap for diagnosing and remedying the pervasive challenge of low catalytic efficiency in computationally designed enzymes.
Tackling the Gene Ontology Long-Tail Problem: AI Solutions and Best Practices for Precision Annotations
This article addresses the persistent challenge of the Gene Ontology (GO) long-tail problem, where a vast majority of genes lack comprehensive, high-quality annotations.
Broadening the Horizon: Strategies to Overcome Limited Substrate Scope in Ene-Reductase Catalyzed Reactions
This article provides a comprehensive analysis of the persistent challenge of limited substrate scope in ene-reductase (ERED)-catalyzed alkene reduction.
Breaking Barriers in Therapeutic Delivery: Advanced Strategies for Stabilizing ArM Proteins and Enhancing Intracellular Assembly Efficiency
This article addresses two critical bottlenecks in the therapeutic application of artificial metalloenzymes (ArMs): their limited stability in complex cellular environments and inefficient intracellular assembly.
Strategies to Overcome Inclusion Body Refolding Challenges: A Comprehensive Guide for Bioprocess Scientists
This article provides a detailed roadmap for researchers and bioprocess professionals grappling with the recovery of active proteins from inclusion bodies.
Fixing the Core: A Comprehensive Guide to Detecting, Correcting, and Validating Hydrophobic Packing Errors in Protein Design
This article provides a systematic guide for researchers and drug development professionals on addressing hydrophobic core packing errors in computational protein design and engineering.
Beyond the Noise: Strategies to Minimize False Positives and Enhance Target Discovery in Functional Metagenomics
Functional metagenomic screening is a powerful, culture-independent tool for discovering novel bioactive molecules and enzymes from microbial communities.
Taming the Chaos: A Researcher's Guide to Minimizing Experimental Noise in High-Throughput Enzyme Screening
High-throughput enzyme screening is pivotal for drug discovery and biocatalyst development, yet its promise is frequently undermined by pervasive experimental noise.
Beyond Additivity: How to Model Epistasis in Protein Sequence-Function Relationships for Better Drug Design
This article provides a comprehensive guide for researchers and drug development professionals on addressing the critical challenge of epistasis—non-additive interactions between mutations—in protein sequence-function modeling.
Preserving Enzyme Activity: Advanced Strategies to Prevent and Overcome Inactivation During Immobilization
This article provides a comprehensive analysis of enzyme inactivation during immobilization, a critical challenge in bioprocess and drug development.