ArticleNucleic acids research2021
e-MutPath: computational modeling reveals the functional landscape of genetic mutations rewiring interactome networks.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 17 citations in OpenAlex.
- eSIG-Net: an interaction language model that decodes the protein code of single mutations.Nature methods · 2026Article
- eSIG-Net: Accurate prediction of single-mutation induced perturbations on protein interactions using a language model.bioRxiv : the preprint server for biology · 2026Article
- CancerHubs Data Explorer: a web application for investigating mutation-enriched protein interaction hubs in human cancers.BioData mining · 2026Article
- Decoding the functional impact of the cancer genome through protein-protein interactions.Nature reviews. Cancer · 2025Review
- Pan-cancer analysis reveals age-associated genetic alterations in protein domains.American journal of human genetics · 2025Article
- Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities.Journal of cellular and molecular medicine · 2025Review
- CancerHubs: a systematic data mining and elaboration approach for identifying novel cancer-related protein interaction hubs.Briefings in bioinformatics · 2024Article
- Decoding functional impact of epigenetic regulator mutations on ligand-receptor interaction perturbations for evaluation of cancer immunotherapy.Journal of cellular and molecular medicine · 2024Article
- Actionability classification of variants of unknown significance correlates with functional effect.NPJ precision oncology · 2023Article
- Landscape and perturbation of enhancer-driven core transcription regulatory circuits in cancer.Molecular therapy. Nucleic acids · 2023Article
- AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning.Briefings in bioinformatics · 2023Article
- Single-cell RNA binding protein regulatory network analyses reveal oncogenic HNRNPK-MYC signalling pathway in cancer.Communications biology · 2023Article
- VariBench, new variation benchmark categories and data sets.Frontiers in bioinformatics · 2023Article
- Article
- Pan-cancer assessment of mutational landscape in intrinsically disordered hotspots reveals potential driver genes.Nucleic acids research · 2022Article
- CancerVar: An artificial intelligence-empowered platform for clinical interpretation of somatic mutations in cancer.Science advances · 2022Article
- The RNA interactome in the Hallmarks of Cancer.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Understanding the functional impact of cancer somatic mutations represents a critical knowledge gap for implementing precision oncology. It has been increasingly appreciated that the interaction profile mediated by 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 experimental approaches. To resolve this challenge, we developed e-MutPath (edgetic Mutation-mediated Pathway perturbations), a network-based computational method to identify candidate 'edgetic' mutations that perturb functional pathways. e-MutPath identifies informative paths that could be used to distinguish disease risk factors from neutral elements and to stratify disease subtypes with clinical relevance. The predicted targets are enriched in cancer vulnerability genes, known drug targets but depleted for proteins associated with side effects, demonstrating the power of network-based strategies to investigate the functional impact and perturbation profiles of genomic mutations. Together, e-MutPath represents a robust computational tool to systematically assign functions to genetic mutations, especially in the context of their specific pathway perturbation effect.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.