Two sequence- and two structure-based ML models have learned different aspects of protein biochemist...
Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Deep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D Convolutional Neural Networks (CNNs). These two model types have very different architectures and are commonly trained on different represent...
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Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry
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TN_cdi_doaj_primary_oai_doaj_org_article_de2a0e4bd981453f829bc025b68f3554
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_de2a0e4bd981453f829bc025b68f3554
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2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-40247-w
