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GPT-Rosalind Drug Discovery Breakthrough

OpenAI says GPT-Rosalind surfaced a drug-discovery lead: restoring cholesterol transport may protect neurons from degeneration.

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Key points

  • OpenAI says GPT-Rosalind surfaced a new drug discovery lead: whether restoring cholesterol transport could protect neurons from degeneration.
  • In mouse-brain data, disrupting DCTN1 increased expression of genes involved in making cholesterol; GPT-Rosalind suggested cholesterol may not be reaching where neurons need it.
  • With @perturbai_tx and @scrippsresearch, thousands of GPT-Rosalind agents connected gene-expression results from millions of mouse brain cells with scientific literature in 32 minutes.
  • OpenAI says it is now expanding this collaboration to identify new drug targets.

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Original post

OpenAI @OpenAI 5.5M followers

GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it. That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders. With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets. https://t.co/oHdF3ELsMj
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Reaction on X: Replies are largely enthusiastic, with one user saying AI can analyze data that would take scientists close to a year in minutes and calling it a new era, while another called the thousands-of-agents setup clean. A few replies questioned the basis of the model, asking which model Rosalind is based on, and said the biology went over their head. The original poster added that in the same mouse-brain dataset, GPT-Rosalind found a possible clue to why TSC2 mutations tend to cause more severe tuberous sclerosis than TSC1 mutations.

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From @OpenAI, @IterIntellectus, @repojournal and others. Spam removed, with English and Chinese translations.

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