Research Articles
AI-Driven DBTL Cycles: Accelerating Synthetic Biology and Biomanufacturing with Machine Learning
This article explores the transformative integration of machine learning (ML) into the Design-Build-Test-Learn (DBTL) cycle, a core framework in synthetic biology and metabolic engineering.
Automated DBTL Pipelines: Accelerating Microbial Production of Fine Chemicals and Therapeutics
This article explores the transformative role of automated Design-Build-Test-Learn (DBTL) pipelines in synthetic biology for the microbial production of fine chemicals and pharmaceutical precursors.
AI-Driven DBTL Cycle: Accelerating Precision Biological Engineering and Drug Discovery
This article explores the transformative role of the Design-Build-Test-Learn (DBTL) cycle in modern biological engineering.
LDBT vs. DBTL: How Machine Learning and Cell-Free Systems Are Reshaping Synthetic Biology
This article provides a comparative analysis for researchers and drug development professionals on the evolving engineering cycles in synthetic biology.
AI-Powered DBTL Cycles: Accelerating Systems Metabolic Engineering for Next-Generation Therapeutics
This article provides a comprehensive introduction to the Design-Build-Test-Learn (DBTL) cycle, a foundational framework in modern systems metabolic engineering.
The DBTL Framework in Metabolic Engineering: A Guide to Iterative Strain Development and AI-Driven Optimization
This article provides a comprehensive overview of the Design-Build-Test-Learn (DBTL) framework, a cornerstone methodology in metabolic engineering and synthetic biology for developing efficient microbial cell factories.
Network Robustness to Perturbation: Evaluation Frameworks and Biomedical Applications for Resilient System Design
This article provides a comprehensive framework for evaluating the robustness of diverse network architectures against perturbations, tailored for researchers and drug development professionals.
Validation of Biosensor Platforms for Pathogen Detection: A Comprehensive Guide to Sensitivity, Specificity, and Clinical Translation
This article provides a comprehensive framework for the validation of biosensor platforms, addressing the critical need for accurate, rapid, and deployable pathogen detection.
Network Motifs as Universal Functional Modules: A Comparative Analysis Across Biological Systems from Neurophysiology to Disease
Network motifs, small, recurrent subgraph patterns, are fundamental building blocks of complex biological systems.
Precision vs. Pragmatism: A Comparative Analysis of Efficiency in Synthetic Biology and Traditional Genetic Engineering
This article provides a comprehensive comparison of the efficiency of synthetic biology and traditional genetic engineering, tailored for researchers, scientists, and drug development professionals.