ArticlePloS one2012
Predicting candidate genes based on combined network topological features: a case study in coronary artery disease.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Harnessing network pharmacology in drug discovery: an integrated approach.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Precision cardiovascular medicine: shifting the innovation paradigm.Frontiers in science · 2025Article
- Network analysis of atherosclerotic genes elucidates druggable targets.BMC medical genomics · 2022Article
- Identification of the key target profiles underlying the drugs of narrow therapeutic index for treating cancer and cardiovascular disease.Computational and structural biotechnology journal · 2021Article
- Transcriptomic Analysis Identifies RNA Binding Proteins as Putative Regulators of Myelopoiesis and Leukemia.Frontiers in oncology · 2019Article
- Integrative gene ontology and network analysis of coronary artery disease associated genes suggests potential role of ErbB pathway gene EGFR.Molecular medicine reports · 2018Article
- Analyzing of Molecular Networks for Human Diseases and Drug Discovery.Current topics in medicinal chemistry · 2018Review
- A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks.Briefings in bioinformatics · 2017Article
- Is the average shortest path length of gene set a reflection of their biological relatedness?Journal of bioinformatics and computational biology · 2016Article
- Differential Network Analysis Reveals Evolutionary Complexity in Secondary Metabolism of Rauvolfia serpentina over Catharanthus roseus.Frontiers in plant science · 2016Article
- Predicting Abdominal Aortic Aneurysm Target Genes by Level-2 Protein-Protein Interaction.PloS one · 2015Article
- Network biology in medicine and beyond.Circulation. Cardiovascular genetics · 2014Article
- Survey of network-based approaches to research of cardiovascular diseases.BioMed research international · 2014Review
- Protein-protein interaction networks (PPI) and complex diseases.Gastroenterology and hepatology from bed to bench · 2014Review
- Network analysis of inflammatory genes and their transcriptional regulators in coronary artery disease.PloS one · 2014Article
- A network study of chinese medicine xuesaitong injection to elucidate a complex mode of action with multicompound, multitarget, and multipathway.Evidence-based complementary and alternative medicine : eCAM · 2013Article
- Network topology reveals key cardiovascular disease genes.PloS one · 2013Article
- Integrated Network and Gene Ontology Analysis Identifies Key Genes and Pathways for Coronary Artery Diseases.Avicenna journal of medical biotechnologyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting candidate genes using gene expression profiles and unbiased protein-protein interactions (PPI) contributes a lot in deciphering the pathogenesis of complex diseases. Recent studies showed that there are significant disparities in network topological features between non-disease and disease genes in protein-protein interaction settings. Integrated methods could consider their characteristics comprehensively in a biological network. In this study, we introduce a novel computational method, based on combined network topological features, to construct a combined classifier and then use it to predict candidate genes for coronary artery diseases (CAD). As a result, 276 novel candidate genes were predicted and were found to share similar functions to known disease genes. The majority of the candidate genes were cross-validated by other three methods. Our method will be useful in the search for candidate genes of other diseases.
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