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1
Intro
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Microelectronics vs. Biotechnology
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What is Synthetic Biology?
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Automated Protein Engineering: Fully Automated & HT Synthesis of TALENS
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Preventing Transmission of Mitochondrial Diseases
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Lycopene Pathway as a Test Case
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Automated Cellular Engineering: east strain development via RNAi-assisted Genome Evolution
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DOE Center for Advanced Bioenergy & Bioproducts Innovation
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Vision: Develop an Automated Cellular Engineering (ACE) Platform
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Multi-functional Genome-wide CRISPR System (MAGIC)
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3. CRISPR/HDR Assisted Genome- scale Engineering (CHANGE)
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Editing Efficiencies and Validation of CHANGE
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Genome Editing with Single Nucleotide Precision
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Three Main Types of Catalysis
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Biocatalysis vs. Chemical Catalysis I
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Combining Biocatalysis and Chemical Catalysis
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Enzymatic Reduction of E/Z Olefins
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Concept: Isomerization and Reduction
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Tandem vs Sequential
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Proposed Mechanism
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Condition Optimization
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Substrate Scope
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Molecule Maker Lab Institute (an NSF AI Research Institute)
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Summary
Description:
Explore a comprehensive lecture on the intersection of synthetic biology, machine learning, and automation in biomanufacturing. Delve into the development of biofoundries, genome-scale engineering tools, and the integration of biocatalysis and chemical catalysis for advanced synthesis. Learn about the Illinois Biological Foundry for Advanced Biomanufacturing (iBioFAB), genome-wide CRISPR systems, and the potential of AI-enabled synthesis planning. Discover how these technologies are revolutionizing the production of chemicals, materials, and therapeutic agents. Gain insights into the challenges and opportunities in this rapidly evolving field, including the newly launched NSF AI research institute for molecular synthesis. Examine case studies on automated protein engineering, preventing mitochondrial disease transmission, and enzymatic reduction of olefins. Understand the vision for developing an Automated Cellular Engineering (ACE) platform and the future of biomanufacturing.

Challenges and Opportunities at the Nexus of Synthetic Biology, Machine Learning, and Automation

Georgia Tech Research
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