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Retrieved on: 2024-07-22 18:23:54
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Summary
The article discusses advances in predicting protein stability using machine learning, highlighting Graph Neural Networks (GNNs). This connects to biotechnology, biochemistry, and protein engineering through applications in stability prediction, enzyme design, and synthetic biology.
Article found on: journals.plos.org
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