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Machine learning method improves accuracy of inverse protein folding for drug design

Phys Org
Summary
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93% Informative

AI approach developed by researchers from the University of Sheffield and AstraZeneca could make it easier to design proteins needed for new treatments.

Inverse protein folding is a critical process for creating novel proteins.

New machine learning framework, called MapDiff , outperformed the most state-of-the-art AI in making successful predictions in simulated tests.

VR Score

96

Informative language

98

Neutral language

69

Article tone

formal

Language

English

Language complexity

77

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not offensive

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not hateful

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not detected

Time-value

long-living

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