Article

e-MutPath: Computational modelling reveals the functional landscape of genetic mutations rewiring interactome networks

2020-08-24

Abstract excerpt

<h4>ABSTRACT</h4> Understanding the functional impact of cancer somatic mutations represents a critical knowledge gap for implementing precision oncology. It has been increasingly appreciated that the ‘edgotype’ of a genomic mutation provides a fundamental link between genotype and phenotype. However, specific effects on biological signaling networks for the majority of mutations are largely unknown by experiment...

Topics

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

Identifiers and source

Literature Corpus work: e2a4258f-fb72-5f68-bdcb-88fe0184894a
DOI: 10.1101/2020.08.22.262386

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

e-MutPath: Computational modelling reveals the functional landscape of genetic mutations rewiring interactome networksDOI 10.1101/2020.08.22.262386Read

e-MutPath: computational modeling reveals the functional landscape of genetic mutations rewiring interactome networks.Semantic proximity Read

My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype.Semantic proximity Read

Tissue-Specific Signaling Networks Rewired by Major Somatic Mutations in Human Cancer Revealed by Proteome-Wide Discovery.Semantic proximity Read

Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6,700 cancer genomes.Semantic proximity Read

Mutational signatures in cancer genomes alter protein sequence motifs in cellular signaling networksSemantic proximity Read

Multilayer view of pathogenic SNVs in human interactome through <i>in-silico</i> edgetic profilingSemantic proximity Read

A comparative analysis of network mutation burdens across 21 tumor types augments discovery from cancer genomesSemantic proximity Read

Understanding Genotype-Phenotype Effects in Cancer via Network Approaches.Semantic proximity Read

A pan-cancer catalogue of driver protein interaction interfacesSemantic proximity Read

Comprehensive characterization of protein-protein interactions perturbed by disease mutations.Semantic proximity Read

Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers.Semantic proximity Read

Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networks.Semantic proximity Read