ArticleScientific reports2015
Integrative analysis of human protein, function and disease networks.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Whole-genome sequencing reveals novel ethnicity-specific rare variants associated with Alzheimer's disease.Molecular psychiatry · 2022Pooled it
- Beetroot (Narra J · 2025Article
- Computational insights into host-pathogen protein interactions: unveiling penaeid shrimp and white spot syndrome virus interplay.Molecular genetics and genomics : MGG · 2025Article
- Predicting protein functions using positive-unlabeled ranking with ontology-based priors.Bioinformatics (Oxford, England) · 2024Article
- Protein-protein interaction (PPI) network analysis reveals important hub proteins and sub-network modules for root development in rice (Oryza sativa).Journal, genetic engineering & biotechnology · 2023Article
- Comparative analysis between highFrontiers in oncology · 2023Article
- Exploring the conservation of Alzheimer-related pathways between H. sapiens and C. elegans: a network alignment approach.Scientific reports · 2021Article
- Statistical Physics for Medical Diagnostics: Learning, Inference, and Optimization Algorithms.Diagnostics (Basel, Switzerland) · 2020Article
- Disease evolution in reaction networks: Implications for a diagnostic problem.PLoS computational biology · 2020Article
- Disease association of human tumor suppressor genes.Molecular genetics and genomics : MGG · 2019Article
- Genetic and Expression Analysis of COPI Genes and Alzheimer's Disease Susceptibility.Frontiers in genetics · 2019Article
- Mapping biological process relationships and disease perturbations within a pathway network.NPJ systems biology and applications · 2018Article
- Disease Risk Assessment Using a Voronoi-Based Network Analysis of Genes and Variants Scores.Frontiers in genetics · 2017Article
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4 authors.
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Abstract
Protein-protein interaction (PPI) networks serve as a powerful tool for unraveling protein functions, disease-gene and disease-disease associations. However, a direct strategy for integrating protein interaction, protein function and diseases is still absent. Moreover, the interrelated relationships among these three levels are poorly understood. Here we present a novel systematic method to integrate protein interaction, function, and disease networks. We first identified topological modules in human protein interaction data using the network topological algorithm (NeTA) we previously developed. The resulting modules were then associated with functional terms using Gene Ontology to obtain functional modules. Finally, disease modules were constructed by associating the modules with OMIM and GWAS. We found that most topological modules have cohesive structure, significant pathway annotations and good modularity. Most functional modules (70.6%) fully cover corresponding topological modules, and most disease modules (88.5%) are fully covered by the corresponding functional modules. Furthermore, we identified several protein modules of interest that we describe in detail, which demonstrate the power of our integrative approach. This approach allows us to link genes, and pathways with their corresponding disorders, which may ultimately help us to improve the prevention, diagnosis and treatment of disease.
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