ArticleFrontiers in immunology2019
Analysis of Predicted Host-Parasite Interactomes Reveals Commonalities and Specificities Related to Parasitic Lifestyle and Tissues Tropism.
Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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.
The trial behind it
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Who cites it
20 citing papers in PubMed, 34 citations in OpenAlex.
- The Trichinella Super-Pangenome Reveals the Evolution of Encapsulation and Predicted Host-Parasite Protein Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Genome-Wide Protein Interaction Analysis in Parasitic Gyrodactylus Flatworms-Fish Hosts System and Drug Target Identification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- On Spatiotemporal Overdispersion and Macroparasite Accumulation in Hosts Leading to Aggregation: A Quantitative Framework.Diseases (Basel, Switzerland) · 2022Article
- Identification and Characterization of Antigenic Properties ofPathogens (Basel, Switzerland) · 2022Article
- A Review of the Impact of Climate Change on the Epidemiology of Gastrointestinal Nematode Infections in Small Ruminants and Wildlife in Tropical Conditions.Pathogens (Basel, Switzerland) · 2022Review
- Immunomodulatory effect of extracellular vesicles fromFrontiers in cellular and infection microbiology · 2022Article
- Hypoxanthine guanine phosphoribosyl transferases SmHGPRTases functional roles inFrontiers in microbiology · 2022Article
- Review
- Genomic Signatures of Coevolution between Nonmodel Mammals and Parasitic Roundworms.Molecular biology and evolution · 2021Article
- Prediction of Human-Bioinformatics and biology insights · 2021Article
- Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.Frontiers in microbiology · 2021Review
- Computational Systems Biology of Alfalfa - Bacterial Blight Host-Pathogen Interactions: Uncovering the Complex Molecular Networks for Developing Durable Disease Resistant Crop.Frontiers in plant science · 2021Article
- Proteomic Profiling of the Liver, Hepatic Lymph Nodes, and Spleen of Buffaloes Infected withPathogens (Basel, Switzerland) · 2020Article
- The tapeworm interactome: inferring confidence scored protein-protein interactions from the proteome of Hymenolepis microstoma.BMC genomics · 2020Article
- Host-Malaria Parasite Interactions and Impacts on Mutual Evolution.Frontiers in cellular and infection microbiology · 2020Review
- Transcriptomic Profiling of Mouse Brain During Acute and Chronic Infections byFrontiers in microbiology · 2020Article
- Investigating host-bacterial interactions among enteric pathogens.BMC genomics · 2019Article
- Small Molecule Inhibitors Targeting the Heat Shock Protein System of Human Obligate Protozoan Parasites.International journal of molecular sciences · 2019Review
- Integrative analysis of the contribution of mRNAs and long non‑coding RNAs to the pathogenesis of asthma.Molecular medicine reports · 2019Article
- A comparative analysis of secreted protein disulfide isomerases from the tropical co-endemic parasites Schistosoma mansoni and Leishmania major.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
The study of molecular host-parasite interactions is essential to understand parasitic infection and adaptation within the host system. As well, prevention and treatment of infectious diseases require a clear understanding of the molecular crosstalk between parasites and their hosts. Yet, large-scale experimental identification of host-parasite molecular interactions remains challenging, and the use of computational predictions becomes then necessary. Here, we propose a computational integrative approach to predict host-parasite protein-protein interaction (PPI) networks resulting from the human infection by 15 different eukaryotic parasites. We used an orthology-based approach to transfer high-confidence intraspecies interactions obtained from the STRING database to the corresponding interspecies homolog protein pairs in the host-parasite system. Our approach uses either the parasites predicted secretome and membrane proteins, or only the secretome, depending on whether they are uni- or multi-cellular, respectively, to reduce the number of false predictions. Moreover, the host proteome is filtered for proteins expressed in selected cellular localizations and tissues supporting the parasite growth. We evaluated the inferred interactions by analyzing the enriched biological processes and pathways in the predicted networks and their association with known parasitic invasion and evasion mechanisms. The resulting PPI networks were compared across parasites to identify common mechanisms that may define a global pathogenic hallmark. We also provided a study case focusing on a closer examination of the human-
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