56 summarised stories about Drug Discovery, each linking back to the original source. Browse all topics →
OpenAI 1 month ago 51
César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates aimed at drug-resistant infections. The approach centers on using those two tools—Codex and ChatGPT—together for the genome search. The result is a workflow that changes how antimicrobial molecule candidates are found by combining AI language/code tools with genome data screening.
TLDR 1 month ago 38
Genome language models were used to support a cancer-vaccine design workflow covering mutation identification, antigen presentation and immunogenicity prediction, target ranking, and RNA design. The approach is presented as a test of whether the models can design a vaccine for one human being. As a result, cancer-vaccine development is framed around evaluating AI’s ability to apply biology knowledge to personalized medicine.
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15 October 2026
Meta’s big move today wasn’t just another model release—it was a licensing-and-distribution statement. Muse Spark Open ships as an 816B-parameter, coding-optimized multimodal model with a 1 million–token context window and 42B active parameters per token, now available as downloads for developers (with restrictions) and deployable through Amazon SageMaker JumpStart into customer-controlled endpoints. The “open” part comes with strings: a custom Muse Model License, advance notification above $20 million revenue, and a required “Built with Muse Spark Open” attribution. Meta still keeps its top systems closed, but it’s clearly betting that more developers will build long-running agent workflows when they can run, fine-tune, and adapt the weights.
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