SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions
SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
The ability to predict how amino acid changes affect proteins has a wide range of applications including in disease variant classification and protein engineering. Many existing methods focus on learning from patterns found in either protein sequences or protein structures. Here, we present a method for integrating information from sequence and str...
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SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions
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TN_cdi_doaj_primary_oai_doaj_org_article_535ce70394734b42995cf8a092ec6220
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_535ce70394734b42995cf8a092ec6220
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-53982-z
