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Accelerating protein sensor optimization with machine learning
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DOI：10.1038/s43588-024-00612-9.png)
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Abstract
En 中文
A recent study introduces a machine learning approach to investigate the effects of mutations on protein sensors commonly employed in fluorescence microscopy, thus enabling the discovery of high-performance sensors.
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