Article

DDGemb: predicting protein stability change upon single- and multi-point variations with embeddings and deep learning

2024-09-07

Abstract excerpt

The knowledge of protein stability upon residue variation is an important step for functional protein design and for understanding how protein variants can promote disease onset. Computational methods are important to complement experimental approaches and allow a fast screening of large datasets of variations. In this work we present DDGemb, a novel method combining protein language model embeddings and transform...

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Literature Corpus work: ec702f48-a9af-505f-af53-4debb09bde2b
DOI: 10.1101/2024.09.05.611455

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