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Try Merck & Co.validationAnnex 22Discovery

    AI drug pipeline

    What big tech has announced in biology

    Large AI and tech companies are moving into biology with models, tools, labs and partnerships. This timeline lists what each one has announced, newest first.

    Includes only events confirmed by the company's own post or release.

    Showing 17 of 17 events.

    1. OpenAI

      GPT-Rosalind Academic Plan

      Expanding GPT-Rosalind access to academic labs, sponsored for eligible US university labs

      Relevance to pharma research Gives eligible US university labs access to a biology model, which may matter for early research.

      Source

    2. Google DeepMind

      Gemini 4 Argon science results

      Claims new results in protein design among other fields

      Relevance to pharma research Claims new protein design results, which may matter for protein work, though the specifics were not reviewed here.

      Source

    3. Arc Institute

      Pythia RNA-binding protein model

      Interpretable model on atlas of 67 RNA-binding proteins

      Relevance to pharma research Offers an interpretable model of RNA binding proteins, which may matter for early biology research.

      Source

    4. Isomorphic Labs

      Virtual Biology Initiative founding member

      Joined VBI as founding member

      Relevance to pharma research Isomorphic Labs joined a biology consortium as a founding member, which may matter for shared research efforts.

      Source

    5. NVIDIA

      BioNeMo Agent Toolkit and BioNeMo Inference Runtime

      Toolkit from structure prediction to binder design; BioIR open-source inference runtime

      Relevance to pharma research Offers tools from structure prediction to binder design plus an open source runtime, which may matter for teams building protein design workflows.

      Source

    6. Meta

      Muse Spark biology-inspired math result

      Found exception to a proposed rule about math structures inspired by biology

      Relevance to pharma research A math result inspired by biology with weak links to drug discovery, so it may matter little for pharma for now.

      Source

    7. Google DeepMind

      SynthID Bio

      Watermarks embedded in AI-designed protein sequences without affecting function

      Relevance to pharma research Adds watermarks to AI designed protein sequences, which may matter for tracing designed proteins and for biosecurity.

      Source

    8. Microsoft Research

      Quine

      Early-stage multimodal world model of biology

      Relevance to pharma research Describes an early stage world model of biology, which may matter for research if it develops further.

      Source

    9. Anthropic

      Molecular biology lab, ART enzyme system discovery

      First result from Anthropic biology lab: Claude flagged a new reverse transcriptase system in jumbo phage DNA, confirmed in lab

      Relevance to pharma research A model flagged a new enzyme system that a lab then confirmed, which may matter as a sign that AI can help find new biology.

      Source

    10. Anthropic

      Molecular biology wet lab

      First result from new molecular biology lab where Anthropic biologists use Claude

      Relevance to pharma research Anthropic biologists now run lab work with Claude in house, which may matter as a sign of AI companies doing lab science directly.

      Source

    11. Anthropic

      Adaptyv Bio protein design competition

      Validating 5,000+ designs; up to $1M Claude credits plus funding

      Relevance to pharma research Lab testing of thousands of protein designs may help show how well AI protein design holds up.

      Source

    12. Anthropic

      Life Sciences Verification Program

      Life science professionals get Mythos with new biology safeguards

      Relevance to pharma research Gives life science professionals access to a model with biology safeguards, which may shape how research teams get access.

      Source

    13. Google DeepMind

      AlphaGenome Atlas

      Predicted impact of all 9 billion single-letter DNA changes; API and Google Cloud

      Relevance to pharma research Offers predicted effects of single letter DNA changes through an API, which may matter for research on genetic variants.

      Source

    14. Anthropic

      MHS agents (Genentech drug discovery experiment)

      Agents ran a drug discovery experiment at Genentech in early testing

      Relevance to pharma research Agents ran a drug discovery experiment inside a drug company in early testing, which may matter for how discovery work gets done.

      Source

    15. Anthropic

      Claude protein binder design results

      22% to 35% of Claude binder designs bound vs 10% to 15% typical; Anthropic notes binders are not drugs

      Relevance to pharma research Reports higher binding rates than typical for AI binder designs, which may matter for early protein design, though Anthropic notes binders are not drugs.

      Source

    16. Anthropic

      Claude Science

      App for every stage of research with 60+ optional scientific databases

      Relevance to pharma research Offers a research app with optional scientific databases, which may matter for day to day research work.

      Source

    17. Anthropic

      Claude for Life Sciences

      Connectors and tools for life sciences research from discovery to commercialization

      Relevance to pharma research Offers connectors and tools for research from discovery to commercialization, which may matter for pharma teams across those stages.

      Source