ReviewMethods (San Diego, Calif.)2012
Computational analysis of interactomes: current and future perspectives for bioinformatics approaches to model the host-pathogen interaction space.
Review in Methods (San Diego, Calif.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
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
19 citing papers in PubMed.
- Host-Directed Antiviral Strategies Against Influenza Viruses: Host Targets, Multi-Omics Approaches and AI-Assisted Discovery.Veterinary sciences · 2026Review
- mimicINT: A workflow for microbe-host protein interaction inference.F1000Research · 2025Article
- A predictive approach for host-pathogen interactions using deep learning and protein sequences.Virusdisease · 2024Article
- Structural and Dynamic Insights into the W68L, L85P, and T87A Mutations ofInternational journal of environmental research and public health · 2022Article
- Host-pathogen protein-nucleic acid interactions: A comprehensive review.Computational and structural biotechnology journal · 2022Review
- A Molecular Interaction Map ofFrontiers in microbiology · 2021Article
- Structural Profiling of Bacterial Effectors Reveals Enrichment of Host-Interacting Domains and Motifs.Frontiers in molecular biosciences · 2021Article
- Protein-protein interactions of human viruses.Seminars in cell & developmental biology · 2020Review
- Interface-Based Structural Prediction of Novel Host-Pathogen Interactions.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Oncoviruses Can Drive Cancer by Rewiring Signaling Pathways Through Interface Mimicry.Frontiers in oncology · 2019Article
- Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-human interactions.Briefings in functional genomics · 2018Review
- Structural host-microbiota interaction networks.PLoS computational biology · 2017Review
- Perturbed human sub-networks by Fusobacterium nucleatum candidate virulence proteins.Microbiome · 2017Article
- Mining host-pathogen protein interactions to characterize Burkholderia mallei infectivity mechanisms.PLoS computational biology · 2015Article
- Comparing human-Salmonella with plant-Salmonella protein-protein interaction predictions.Frontiers in microbiology · 2015Article
- Computational approaches for prediction of pathogen-host protein-protein interactions.Frontiers in microbiology · 2015Review
- Prediction of interactions between viral and host proteins using supervised machine learning methods.PloS one · 2014Article
- Structural bioinformatics of the interactome.Annual review of biophysics · 2014Review
- Network representations of immune system complexity.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial and viral pathogens affect their eukaryotic host partly by interacting with proteins of the host cell. Hence, to investigate infection from a systems' perspective we need to construct complete and accurate host-pathogen protein-protein interaction networks. Because of the paucity of available data and the cost associated with experimental approaches, any construction and analysis of such a network in the near future has to rely on computational predictions. Specifically, this challenge consists of a number of sub-problems: First, prediction of possible pathogen interactors (e.g. effector proteins) is necessary for bacteria and protozoa. Second, the prospective host binding partners have to be determined and finally, the impact on the host cell analyzed. This review gives an overview of current bioinformatics approaches to obtain and understand host-pathogen interactions. As an application example of the methods covered, we predict host-pathogen interactions of Salmonella and discuss the value of these predictions as a prospective for further research.
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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.