AI Pipeline Converts Antibodies Into Functional Intrabodies
A research team led by Professor Hiroshi Kimura published a Science Advances paper on January 2, 2026, describing an AI-driven pipeline that converts antibody sequences into functional intracellular antibodies. The method preserved antigen-binding regions while redesigning framework regions, converting 19 of 26 tested antibodies (18 previously nonfunctional) into stable intrabodies. This enables live-cell detection of histone modifications and accelerates intracellular probe development.
Key Points
- 1Converted 19 of 26 antibody sequences into functional intrabodies using AI-guided redesign
- 2Preserved antigen-binding regions while stabilizing frameworks, overcoming intracellular misfolding and loss of activity
- 3Enabled live-cell fluorescence detection of histone modifications, facilitating real-time study of gene regulation
Scoring Rationale
High novelty and peer-reviewed validation drive score, with moderate scope limited to intrabody and protein-design research.
Sources
Public references used for this report.
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