ArticlePloS one2011
Computational prediction of host-parasite protein interactions between P. falciparum and H. sapiens.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 73 citations in OpenAlex.
- Integrating host-microbiome multi-omics with machine learning: methods, benchmarks, and translational applications.Science China. Life sciences · 2026Review
- An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction.Computational and structural biotechnology journal · 2025Article
- Computational models for prediction of protein-protein interaction in rice andFrontiers in plant science · 2022Article
- New feature extraction from phylogenetic profiles improved the performance of pathogen-host interactions.Frontiers in cellular and infection microbiology · 2022Article
- Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases.Frontiers in cellular and infection microbiology · 2022Review
- Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.Frontiers in microbiology · 2021Review
- 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
- Analysis of Predicted Host-Parasite Interactomes Reveals Commonalities and Specificities Related to Parasitic Lifestyle and Tissues Tropism.Frontiers in immunology · 2019Article
- A Bipartite Network Module-Based Project to Predict Pathogen-Host Association.Frontiers in genetics · 2019Article
- Prediction of human-Bacillus anthracis protein-protein interactions using multi-layer neural network.Bioinformatics (Oxford, England) · 2018Article
- 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
- Network biology discovers pathogen contact points in host protein-protein interactomes.Nature communications · 2018Article
- Using structural knowledge in the protein data bank to inform the search for potential host-microbe protein interactions in sequence space: application to Mycobacterium tuberculosis.BMC bioinformatics · 2017Article
- Computational Analysis of Host-Pathogen Protein Interactions between Humans and Different Strains of EnterohemorrhagicFrontiers in cellular and infection microbiology · 2017Article
- Cell-free Determination of Binary Complexes That Comprise Extended Protein-Protein Interaction Networks of Yersinia pestis.Molecular & cellular proteomics : MCP · 2016Article
- A review on host-pathogen interactions: classification and prediction.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016Review
- Computational analysis of protein interaction networks for infectious diseases.Briefings in bioinformatics · 2016Review
- The interactome of Streptococcus pneumoniae and its bacteriophages show highly specific patterns of interactions among bacteria and their phages.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
To obtain candidates of interactions between proteins of the malaria parasite Plasmodium falciparum and the human host, homologous and conserved interactions were inferred from various sources of interaction data. Such candidate interactions were assessed by applying a machine learning approach and further filtered according to expression and molecular characteristics, enabling involved proteins to indeed interact. The analysis of predicted interactions indicated that parasite proteins predominantly target central proteins to take control of a human host cell. Furthermore, parasite proteins utilized their protein repertoire in a combinatorial manner, providing a broad connection to host cellular processes. In particular, several prominent pathways of signaling and regulation proteins were predicted to interact with parasite chaperones. Such a result suggests an important role of remodeling proteins in the interaction interface between the human host and the parasite. Identification of such molecular strategies that allow the parasite to take control of the host has the potential to deepen our understanding of the parasite specific remodeling processes of the host cell and illuminate new avenues of disease intervention.
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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.