ArticlePLoS neglected tropical diseases2016
DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions.
Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 33 citations in OpenAlex.
- Phosphoproteome-Entailed Kinase-Substrate Landscape of Human-DENV-2 Interaction.International journal of molecular sciences · 2026Article
- HVIface: sequence-based deep learning for decoding human-virus protein-protein interfaces.Frontiers in bioinformatics · 2026Article
- Article
- miRNome analysis reveals mir-155-5p as a protective factor to dengue infection in a resistant Thai cohort.Medical microbiology and immunology · 2025Article
- Bioinformatic Resources for Exploring Human-virus Protein-protein Interactions Based on Binding Modes.Genomics, proteomics & bioinformatics · 2024Review
- Bioinformatics Analysis of Mutations Sheds Light on the Evolution of Dengue NS1 Protein With Implications in the Identification of Potential Functional and Druggable Sites.Molecular biology and evolution · 2023Article
- Dynamic transcriptome analyses reveal mHeliyon · 2023Article
- Article
- Anti-dengue Potential of Mangiferin: Intricate Network of Dengue to Human Genes.Revista brasileira de farmacognosia : orgao oficial da Sociedade Brasileira de Farmacognosia · 2022Article
- The Intricacy of the Viral-Human Protein Interaction Networks: Resources, Data, and Analyses.Frontiers in microbiology · 2022Review
- Comprehensive characterization of human-virus protein-protein interactions reveals disease comorbidities and potential antiviral drugs.Computational and structural biotechnology journal · 2022Article
- Protein-protein interactions of human viruses.Seminars in cell & developmental biology · 2020Review
- Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue virus (DENV) is a human pathogen and its etiology has been widely established. There are many interactions between DENV and human proteins that have been reported in literature. However, no publicly accessible resource for efficiently retrieving the information is yet available. In this study, we mined all publicly available dengue-human interactions that have been reported in the literature into a database called DenHunt. We retrieved 682 direct interactions of human proteins with dengue viral components, 382 indirect interactions and 4120 differentially expressed human genes in dengue infected cell lines and patients. We have illustrated the importance of DenHunt by mapping the dengue-human interactions on to the host interactome and observed that the virus targets multiple host functional complexes of important cellular processes such as metabolism, immune system and signaling pathways suggesting a potential role of these interactions in viral pathogenesis. We also observed that 7 percent of the dengue virus interacting human proteins are also associated with other infectious and non-infectious diseases. Finally, the understanding that comes from such analyses could be used to design better strategies to counteract the diseases caused by dengue virus. The whole dataset has been catalogued in a searchable database, called DenHunt (http://proline.biochem.iisc.ernet.in/DenHunt/).
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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.