ArticlePloS one2010
Viral organization of human proteins.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 37 citations in OpenAlex.
- Graph neural network integrated with pretrained protein language model for predicting human-virus protein-protein interactions.Briefings in bioinformatics · 2025Article
- Comparative analysis of dynamic transcriptomes reveals specific COVID-19 features and pathogenesis of immunocompromised populations.mSystems · 2024Article
- Multi-modal features-based human-herpesvirus protein-protein interaction prediction by using LightGBM.Briefings in bioinformatics · 2024Article
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- Identification of viral-mediated pathogenic mechanisms in neurodegenerative diseases using network-based approaches.Briefings in bioinformatics · 2021Article
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- Protein-protein interactions of human viruses.Seminars in cell & developmental biology · 2020Review
- Beyond degree and betweenness centrality: Alternative topological measures to predict viral targets.PloS one · 2018Article
- The interactome of Streptococcus pneumoniae and its bacteriophages show highly specific patterns of interactions among bacteria and their phages.Scientific reports · 2016Article
- The Road Less Traveled: HIV's Use of Alternative Routes through Cellular Pathways.Journal of virology · 2015Review
- Essentiality and centrality in protein interaction networks revisited.BMC bioinformatics · 2015Article
- Improving the Understanding of Pathogenesis of Human Papillomavirus 16 via Mapping Protein-Protein Interaction Network.BioMed research international · 2015Article
- Controllability in protein interaction networks.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Article
- The protein interaction network of bacteriophage lambda with its host, Escherichia coli.Journal of virology · 2013Article
- Computational analysis of virus-host interactomes.Methods in molecular biology (Clifton, N.J.) · 2013Article
- Data-warehousing of protein-protein interactions indicates that pathogens preferentially target hub and bottleneck proteins.Frontiers in microbiology · 2013Article
- Toward a three-dimensional view of protein networks between species.Frontiers in microbiology · 2012Article
- Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infections.Scientific reports · 2012Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Although maps of intracellular interactions are increasingly well characterized, little is known about large-scale maps of host-pathogen protein interactions. The investigation of host-pathogen interactions can reveal features of pathogenesis and provide a foundation for the development of drugs and disease prevention strategies. A compilation of experimentally verified interactions between HIV-1 and human proteins and a set of HIV-dependency factors (HDF) allowed insights into the topology and intricate interplay between viral and host proteins on a large scale. We found that targeted and HDF proteins appear predominantly in rich-clubs, groups of human proteins that are strongly intertwined among each other. These assemblies of proteins may serve as an infection gateway, allowing the virus to take control of the human host by reaching protein pathways and diversified cellular functions in a pronounced and focused way. Particular transcription factors and protein kinases facilitate indirect interactions between HDFs and viral proteins. Discerning the entanglement of directly targeted and indirectly interacting proteins may uncover molecular and functional sites that can provide novel perspectives on the progression of HIV infection and highlight new avenues to fight this virus.
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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.