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Protein AI: next big thing after physical AI, eyes 70兆円 market

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Protein AI: next big thing after physical AI, eyes 70兆円 market

3 Key Points

  1. What happened

    Generative AI is moving from text, code, images and video to proteins, with protein AI targeting a protein-drug market put at roughly 70兆円 and drawing Big Tech and VC interest.

  2. Why it matters

    Drug discovery is already applying the technology, and Japanese players are joining — startups such as MOLCURE and Repertoire, plus drugmakers 中外製薬 and アステラス製薬, are building in-house efforts.

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Context & Analysis

Protein AI is framed as the latest step in a progression of generative AI targets: natural language, program code, images, video, and now proteins. What makes the field commercially notable is the size of the prize it points at — a protein-drug market estimated at roughly 70兆円 — and the fact that drug discovery is already beginning to apply the technology.

Overseas startups are described as leading the field, with promising companies emerging from Big Tech and venture capital. Japan's position is more recent: two startups, MOLCURE and Repertoire, are said to be driving domestic protein AI, and major drugmakers 中外製薬 and アステラス製薬 are focusing on the area. MOLCURE is described as developing its own antibody-focused large language model trained partly on failure data, while Repertoire combines protein language models with machine learning rather than relying only on the newest AI. Electronics makers and cloud providers are also moving in, suggesting the field could become the next outlet after physical AI.

FAQ
What market is protein AI aiming at?
It targets the protein-drug market, estimated at roughly 70兆円.
Which Japanese companies are working on protein AI?
Startups such as MOLCURE and Repertoire lead Japan's efforts, while 中外製薬 has developed its own antibody-focused AI and アステラス製薬 is looking at diffusion models.
What does protein AI generate?
It generates proteins, following generative AI's earlier targets of natural-language text, program code, images and video.
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