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AI CURATED HOT STORY · 10/15/2026

Scinetics Proposes Chain of Science Tokens for Verifiable Enzyme Design Reasoning

1 reports archived1 independent sourcesupdated 10/15/2026, 12:55:00
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Scinetics and partners from MIT, Harvard, and others introduce 'Chain of Science Tokens,' a paradigm converting molecular structures and sequences into readable reasoning units. Their key implementation, Chain of Structures (COS), achieves verifiable spatial reasoning in enzyme design by constructing proteins through four iterative structural stages, overcoming the text-only limitation of traditional chain-of-thought.

LATEST/Scinetics and partners from MIT, Harvard, and others introduce 'Chain of Science Tokens,' a paradigm converting molecular structures and sequences into readable reasoning units. Their key implementation, Chain of Structures (COS), achieves verifiable spatial reasoning in enzyme design by constructing proteins through four iterative structural stages, overcoming the text-only limitation of traditional chain-of-thought.

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Total 1 reports · Latest first
  1. 量子位 (微信公众号)T2·68 pts
    • Introduces 'Chain of Science Tokens' enabling AI to reason directly over non-text objects like 3D molecular spaces and gene sequences.
    • Presents Chain of Structures (COS), which decomposes enzyme design into four verifiable steps: defining catalytic core, refining active site, building global scaffold, and completing sequence.
    • Bridges language-based reasoning with continuous structural representations, ensuring each intermediate step is computable and experimentally verifiable.
Scinetics Proposes Chain of Science Tokens for Verifiable Enzyme Design Reasoning | Today for AI