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Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-18619-x
Abstract: The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use…
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Keywords:
evolution;
enzyme design;
based enzyme;
directed evolution ... See more keywords
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Published in 2019 at "Nature Reviews Chemistry"
DOI: 10.1038/s41570-019-0143-x
Abstract: The ability of one enzyme to catalyse multiple, mechanistically distinct transformations likely played a crucial role in organisms’ abilities to adapt to changing external stimuli in the past and can still be observed in extant…
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Keywords:
importance catalytic;
evolution;
enzyme design;
promiscuity ... See more keywords
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Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2122355119
Abstract: Significance Designing efficient enzymes could contribute to a sustainable future. Current computational approaches, including physics-based and machine learning–based design, have not led to a robust enzyme design. Predicting enzyme catalytic power is the crucial step…
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Keywords:
physics;
computational enzyme;
design;
maximum entropy ... See more keywords
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Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad065
Abstract: The design of enzyme catalytic stability is of great significance in medicine and industry. However, traditional methods are time-consuming and costly. Hence, a growing number of complementary computational tools have been developed, e.g. ESMFold, AlphaFold2,…
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Keywords:
enzyme design;
artificial intelligence;
design;
stability ... See more keywords