期刊
ELIFE
卷 11, 期 -, 页码 -出版社
eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.79310
关键词
fitness landscape; molecular evolution; protein engineering; machine learning; GFP; E; coli
类别
Predicting how green fluorescent proteins respond to genetic mutations using a neural network reveals properties that can aid in designing new proteins.
Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.
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