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AI-driven multi-modal framework improves protein editing for science and medicine

Phys Org
Summary
Nutrition label

90% Informative

Researchers from Zhejiang University and HKUST ( Guangzhou ) developed a cutting-edge AI model, ProtET , that leverages multi-modal learning to enable controllable protein editing through text-based instructions.

Proteins are the cornerstone of biological functions, and their precise modification holds immense potential for medical therapies, synthetic biology, and biotechnology.

VR Score

93

Informative language

97

Neutral language

12

Article tone

formal

Language

English

Language complexity

98

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

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