Article

Are the Next-Generation Pathogenicity Predictors Applicable to Cancer?

2024-05-10

Abstract excerpt

Next-generation pathogenicity predictors are designed to identify pathogenic mutations in genetic disorders but are increasingly used to detect driver mutations in cancer. Despite this, their suitability for cancer is not fully established. Here we have assessed the effectiveness of next-generation pathogenicity predictors when applied to cancer by using a comprehensive experimental benchmark of cancer driver and...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8f4f978b-e73c-5c00-a21e-5d1cb786584a
DOI: 10.1101/2024.05.06.592789

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Are the Next-Generation Pathogenicity Predictors Applicable to Cancer?DOI 10.1101/2024.05.06.592789Read

Are Next-Generation Pathogenicity Predictors Applicable to Cancer?Semantic proximity Read

Comparison of Pathogenicity Prediction Tools on Somatic Variants.Semantic proximity Read

An interpretable molecular framework for predicting cancer driver missense mutationsSemantic proximity Read

Leveraging cancer mutation data to predict the pathogenicity of germline missense variantsSemantic proximity Read

Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks.Semantic proximity Read

PON-P: integrated predictor for pathogenicity of missense variants.Semantic proximity Read

Passenger mutations accurately classify human tumorsSemantic proximity Read

CHASMplus reveals the scope of somatic missense mutations driving human cancersSemantic proximity Read

Assessment of 13 in silico pathogenicity methods on cancer-related variants.Semantic proximity Read

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation-Informed Protein Language Model.Semantic proximity Read

Cancer driver mutations: predictions and reality.Semantic proximity Read

Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.Semantic proximity Read