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A joint embedding of protein sequence and structure enables robust variant effect predictions

2023-12-16

Abstract excerpt

The ability to predict how amino acid changes may affect protein function 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 protein sequences and structures in a single model that we term SSEmb (...

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Literature Corpus work
b0e54999-9632-514f-8465-125031ba5ccf
DOI
10.1101/2023.12.14.571755
Open publication

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A joint embedding of protein sequence and structure enables robust variant effect predictionsDOI 10.1101/2023.12.14.571755
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