ArticleComputational and structural biotechnology journal2022
Comprehensive characterization of human-virus protein-protein interactions reveals disease comorbidities and potential antiviral drugs.
Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Multilabel prediction of virus target proteins via multimodal graph representation learning.PLoS computational biology · 2026Article
- 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
- Identification of Virus-Host Interactions.Advances in experimental medicine and biology · 2026Review
- Unraveling the Network Signatures of Oncogenicity in Virus-Human Protein-Protein Interactions.Entropy (Basel, Switzerland) · 2025Article
- Rho-GTPases subfamily: cellular defectors orchestrating viral infection.Cellular & molecular biology letters · 2025Review
- Proteome-wide characterization of PTMs reveals host cell responses to viral infection and identifies putative antiviral drug targets.Frontiers in immunology · 2025Review
- Analysis of phosphomotifs coupled to phosphoproteome and interactome unveils potential human kinase substrate proteins in SARS-CoV-2.Frontiers in cellular and infection microbiology · 2025Article
- Uncovering human kinase substrates in nipah proteome.Frontiers in bioinformatics · 2025Article
- Bioinformatic Resources for Exploring Human-virus Protein-protein Interactions Based on Binding Modes.Genomics, proteomics & bioinformatics · 2024Review
- Integrating multi-omics to unravel host-microbiome interactions in inflammatory bowel disease.Cell reports. Medicine · 2024Review
- Exploring Viral-Host Protein Interactions as Antiviral Therapies: A Computational Perspective.Microorganisms · 2024Review
- Malivhu: A Comprehensive Bioinformatics Resource for Filtering SARS and MERS Virus Proteins by Their Classification, Family and Species, and Prediction of Their Interactions Against Human Proteins.Bioinformatics and biology insights · 2024Article
- Prediction of human protein interactome of dengue virus non-structural protein 5 (NS5) and its downstream immunological implications.3 Biotech · 2023Article
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Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The protein-protein interactions (PPIs) between human and viruses play important roles in viral infection and host immune responses. Rapid accumulation of experimentally validated human-virus PPIs provides an unprecedented opportunity to investigate the regulatory pattern of viral infection. However, we are still lack of knowledge about the regulatory patterns of human-virus interactions. We collected 27,293 experimentally validated human-virus PPIs, covering 8 virus families, 140 viral proteins and 6059 human proteins. Functional enrichment analysis revealed that the viral interacting proteins were likely to be enriched in cell cycle and immune-related pathways. Moreover, we analysed the topological features of the viral interacting proteins and found that they were likely to locate in central regions of human PPI network. Based on network proximity analyses of diseases genes and human-virus interactions in the human interactome, we revealed the associations between complex diseases and viral infections. Network analysis also implicated potential antiviral drugs that were further validated by text mining. Finally, we presented the Human-Virus Protein-Protein Interaction database (HVPPI, http://bio-bigdata.hrbmu.edu.cn/HVPPI), that provides experimentally validated human-virus PPIs as well as seamlessly integrates online functional analysis tools. In summary, comprehensive understanding the regulatory pattern of human-virus interactome will provide novel insights into fundamental infectious mechanism discovery and new antiviral therapy development.
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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 Socratic graph.