Article

Combining evolution and protein language models for an interpretable cancer driver mutation prediction with D2Deep

2023-11-17

Abstract excerpt

The mutations driving cancer are being increasingly exposed through tumor-specific genomic data. However, differentiating between cancer-causing driver mutations and random passenger mutations remains challenging. State-of-the-art homology-based predictors contain built-in biases and are often ill-suited to the intricacies of cancer biology. Protein Language Models have successfully addressed various biological pr...

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Literature Corpus work: 52692c4d-a937-5f54-97a8-47f3e0321d78
DOI: 10.1101/2023.11.17.567550

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