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Welcome to the first SynBioBeta Deep Tech Spotlight newsletter! Here, we will be diving into groundbreaking advancements at the intersection of AI and biology. Explore how protein language models revolutionize protein design, discover the latest bioreactor innovations driving sustainable protein production, and meet Evo—the AI decoding life's genetic blueprint. From tracking human movements through microbiome data to designing CO2-negative microbial communities and next-gen polymers, this edition showcases the transformative power of AI in shaping the future of biotechnology. And don't forget to watch some of the great videos of presentations that happened at SynBioBeta 2024! Enjoy and keep an eye out for the next Deep Tech Spotlight newsletter, which is coming soon!

  


From Sequence to Function with Protein Language Models

Applying the technology behind large language models to protein sequences is expediting the study and design of proteins


AI and Automation Drive Bioreactor Innovations from Pharma to Precision Fermentation

The evolution of bioreactor technology, combined with AI and automation, is revolutionizing precision fermentation and scaling sustainable protein production


    

    

    

Evo: The AI That's Decoding Life's Genetic Blueprint

Trained on 2.7 million microbial genomes, Evo leverages deep learning to predict how small DNA changes affect organism fitness and can generate realistic, functional genomic sequences

New AI Tool Tracks Your Location Using Microbiome Data from Bacteria

A research team has unlocked the potential to map human movements through microbial "fingerprints," marking a major advance in medicine and forensics

Computer Models Are Optimizing Microbial Communities in Synthetic Biology

Inspired by natural microbial relationships, researchers are developing artificial communities using computer models to create CO2-negative processes and other innovative applications

Polymers by Algorithm: How AI is Crafting Tomorrow’s Materials

Georgia Tech researchers are using AI to fast-track the discovery of next-gen polymers with real-world impact

Advanced AI Reveals How Proteins Act in Their Natural Contexts

Harvard researchers developed an AI model that overcomes the limitations of traditional protein analysis by considering cell and tissue environments

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