ArticleChemistry & biodiversity2012
Prediction and comparison of Salmonella-human and Salmonella-Arabidopsis interactomes.
Article in Chemistry & biodiversity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 46 citations in OpenAlex.
- Computational Approach for Detection and Analysis of Human-Virus Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2025Article
- mimicINT: A workflow for microbe-host protein interaction inference.F1000Research · 2025Article
- Article
- Host-pathogen protein-nucleic acid interactions: A comprehensive review.Computational and structural biotechnology journal · 2022Review
- Computational models for prediction of protein-protein interaction in rice andFrontiers in plant science · 2022Article
- In silico characterization, docking, and simulations to understand host-pathogen interactions in an effort to enhance crop production in date palms.Journal of molecular modeling · 2021Article
- Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.Frontiers in microbiology · 2021Review
- Article
- In silico unravelling pathogen-host signaling cross-talks via pathogen mimicry and human protein-protein interaction networks.Computational and structural biotechnology journal · 2020Article
- Inferring pathogen-host interactions between Leptospira interrogans and Homo sapiens using network theory.Scientific reports · 2019Article
- Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-human interactions.Briefings in functional genomics · 2018Review
- Inter-Species/Host-Parasite Protein Interaction Predictions Reviewed.Current bioinformatics · 2018Review
- Transferring knowledge of bacterial protein interaction networks to predict pathogen targeted human genes and immune signaling pathways: a case study on M. tuberculosis.BMC genomics · 2018Article
- Perturbed human sub-networks by Fusobacterium nucleatum candidate virulence proteins.Microbiome · 2017Article
- Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs.BMC bioinformatics · 2015Article
- The Pathogen-Host Interactions database (PHI-base): additions and future developments.Nucleic acids research · 2015Article
- Computational approaches for prediction of pathogen-host protein-protein interactions.Frontiers in microbiology · 2015Review
- Comparing human-Salmonella with plant-Salmonella protein-protein interaction predictions.Frontiers in microbiology · 2015Article
- Image-based Analysis to Study Plant Infection with Human Pathogens.Computational and structural biotechnology journal · 2014Review
- Computational reconstruction of proteome-wide protein interaction networks between HTLV retroviruses and Homo sapiens.BMC bioinformatics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
Salmonellosis caused by Salmonella bacteria is a food-borne disease and a worldwide health threat causing millions of infections and thousands of deaths every year. This pathogen infects an unusually broad range of host organisms including human and plants. A better understanding of the mechanisms of communication between Salmonella and its hosts requires identifying the interactions between Salmonella and host proteins. Protein-protein interactions (PPIs) are the fundamental building blocks of communication. Here, we utilize the prediction platform BIANA to obtain the putative Salmonella-human and Salmonella-Arabidopsis interactomes based on sequence and domain similarity to known PPIs. A gold standard list of Salmonella-host PPIs served to validate the quality of the human model. 24,726 and 10,926 PPIs comprising interactions between 38 and 33 Salmonella effectors and virulence factors with 9,740 human and 4,676 Arabidopsis proteins, respectively, were predicted. Putative hub proteins could be identified, and parallels between the two interactomes were discovered. This approach can provide insight into possible biological functions of so far uncharacterized proteins. The predicted interactions are available via a web interface which allows filtering of the database according to parameters provided by the user to narrow down the list of suspected interactions. The interactions are available via a web interface at http://sbi.imim.es/web/SHIPREC.php.
Indexed as
Identifiers
What OpenQuestion holds
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.