ArticlePloS one2011
Targeting protein-protein interactions for parasite control.
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 15 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
15 citing papers in PubMed, 25 citations in OpenAlex.
- Genome-Wide Protein Interaction Analysis in Parasitic Gyrodactylus Flatworms-Fish Hosts System and Drug Target Identification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Profiling Serine Hydrolases in the Leishmania Host-Pathogen Interactome Using Cell-Permeable Activity-Based Fluorophosphonate Probes.Chembiochem : a European journal of chemical biology · 2025Article
- Proteomic Analysis ofPathogens (Basel, Switzerland) · 2021Article
- Phylum-Spanning Neuropeptide GPCR Identification and Prioritization: Shaping Drug Target Discovery Pipelines for Nematode Parasite Control.Frontiers in endocrinology · 2021Article
- Analysis of Predicted Host-Parasite Interactomes Reveals Commonalities and Specificities Related to Parasitic Lifestyle and Tissues Tropism.Frontiers in immunology · 2019Article
- Building protein-protein interaction networks for Leishmania species through protein structural information.BMC bioinformatics · 2018Article
- Direct experimental manipulation of intestinal cells in Ascaris suum, with minor influences on the global transcriptome.International journal for parasitology · 2017Article
- Study of intra-inter species protein-protein interactions for potential drug targets identification and subsequent drug design for Escherichia coli O104:H4 C277-11.In silico pharmacology · 2016Article
- Genome mining offers a new starting point for parasitology research.Parasitology research · 2015Review
- Current drug targets for helminthic diseases.Parasitology research · 2013Review
- Using existing drugs as leads for broad spectrum anthelmintics targeting protein kinases.PLoS pathogens · 2013Article
- Parasite neuropeptide biology: Seeding rational drug target selection?International journal for parasitology. Drugs and drug resistance · 2012Review
- Structural characterization and inhibition of the Plasmodium Atg8-Atg3 interaction.Journal of structural biology · 2012Article
- Nematode-bacterium symbioses--cooperation and conflict revealed in the "omics" age.The Biological bulletin · 2012Review
- A deep sequencing approach to comparatively analyze the transcriptome of lifecycle stages of the filarial worm, Brugia malayi.PLoS neglected tropical diseases · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
Finding new drug targets for pathogenic infections would be of great utility for humanity, as there is a large need to develop new drugs to fight infections due to the developing resistance and side effects of current treatments. Current drug targets for pathogen infections involve only a single protein. However, proteins rarely act in isolation, and the majority of biological processes occur via interactions with other proteins, so protein-protein interactions (PPIs) offer a realm of unexplored potential drug targets and are thought to be the next-generation of drug targets. Parasitic worms were chosen for this study because they have deleterious effects on human health, livestock, and plants, costing society billions of dollars annually and many sequenced genomes are available. In this study, we present a computational approach that utilizes whole genomes of 6 parasitic and 1 free-living worm species and 2 hosts. The species were placed in orthologous groups, then binned in species-specific orthologous groups. Proteins that are essential and conserved among species that span a phyla are of greatest value, as they provide foundations for developing broad-control strategies. Two PPI databases were used to find PPIs within the species specific bins. PPIs with unique helminth proteins and helminth proteins with unique features relative to the host, such as indels, were prioritized as drug targets. The PPIs were scored based on RNAi phenotype and homology to the PDB (Protein DataBank). EST data for the various life stages, GO annotation, and druggability were also taken into consideration. Several PPIs emerged from this study as potential drug targets. A few interactions were supported by co-localization of expression in M. incognita (plant parasite) and B. malayi (H. sapiens parasite), which have extremely different modes of parasitism. As more genomes of pathogens are sequenced and PPI databases expanded, this methodology will become increasingly applicable.
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.