ArticleFrontiers in microbiology2019
PHI-Nets: A Network Resource for Ascomycete Fungal Pathogens to Annotate and Identify Putative Virulence Interacting Proteins and siRNA Targets.
Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Computational Network Inference for Bacterial Interactomics.mSystems · 2022Review
- PHI-base in 2022: a multi-species phenotype database for Pathogen-Host Interactions.Nucleic acids research · 2022Article
- Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020Review
- Fungi.guru: Comparative genomic and transcriptomic resource for the fungi kingdom.Computational and structural biotechnology journal · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Interactions between proteins underlie all aspects of complex biological mechanisms. Therefore, methodologies based on complex network analyses can facilitate identification of promising candidate genes involved in phenotypes of interest and put this information into appropriate contexts. To facilitate discovery and gain additional insights into globally important pathogenic fungi, we have reconstructed computationally inferred interactomes using an interolog and domain-based approach for 15 diverse Ascomycete fungal species, across nine orders, specifically
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Registered trials
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