Air Street Press AI-first biology: five years on
Jan 19, 2025
The discussion reflects on the transformative impact of AI in biology since 2019. Key advancements, like Nobel-winning contributions to protein prediction, underscore AI's potential amidst skepticism about drug discovery. The conversation then shifts to groundbreaking innovations in biotechnology, particularly in protein therapeutics and gene editing, spotlighting AlphaFold3 and ESM models. These developments promise to revolutionize disease research and open new avenues for scientific exploration.
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AI in Lab Automation
- AI has significantly improved lab tasks like liquid handling and cell culture.
- These automated processes generate data and enhance decision-making.
Protein Structure Prediction
- AlphaFold moved beyond structure prediction to predict protein complexes.
- Other competitive models like HelixFold3 and ESM3 are emerging.
ProFluent's Approach
- ProFluent combines evolutionary and structural information in its protein language models (ProCLM).
- This integrates sequence rules with design guides for specific shapes and functions.