ArticleBMC systems biology2012
Network-based assessment of the selectivity of metabolic drug targets in Plasmodium falciparum with respect to human liver metabolism.
Article in BMC systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 31 citations in OpenAlex.
- Host cell CRISPR genomics and modelling reveal shared metabolic vulnerabilities in the intracellular development of Plasmodium falciparum and related hemoparasites.Nature communications · 2024Article
- Structure-based pharmacophore modeling, virtual screening, and molecular dynamics simulation studies for identification ofFrontiers in medicine · 2022Article
- Non-canonical metabolic pathways in the malaria parasite detected by isotope-tracing metabolomics.Molecular systems biology · 2021Article
- Uncovering the Role of Metabolism in Oomycete-Host Interactions Using Genome-Scale Metabolic Models.Frontiers in microbiology · 2021Review
- New Therapeutic Candidates for the Treatment of Malassezia pachydermatis -Associated Infections.Scientific reports · 2020Article
- Novel Approaches for Systems Biology of Metabolism-Oriented Pathogen-Human Interactions: A Mini-Review.Frontiers in cellular and infection microbiology · 2020Review
- Genome-Scale Metabolic Modeling for Unraveling Molecular Mechanisms of High Threat Pathogens.Frontiers in cell and developmental biology · 2020Review
- Biomedical applications of genome-scale metabolic network reconstructions of human pathogens.Current opinion in biotechnology · 2018Review
- In Silico Knockout Screening ofBioMed research international · 2018Article
- Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance.BMC genomics · 2017Article
- Bioenergetics-based modeling of Plasmodium falciparum metabolism reveals its essential genes, nutritional requirements, and thermodynamic bottlenecks.PLoS computational biology · 2017Article
- Metabolic host responses to malarial infection during the intraerythrocytic developmental cycle.BMC systems biology · 2016Article
- Metabolic Needs and Capabilities of Toxoplasma gondii through Combined Computational and Experimental Analysis.PLoS computational biology · 2015Article
- A review on computational systems biology of pathogen-host interactions.Frontiers in microbiology · 2015Review
- Cell scale host-pathogen modeling: another branch in the evolution of constraint-based methods.Frontiers in microbiology · 2015Article
- From next-generation sequencing to systematic modeling of the gut microbiome.Frontiers in genetics · 2015Review
- Phylogenetic Analysis of Nucleus-Encoded Acetyl-CoA Carboxylases Targeted at the Cytosol and Plastid of Algae.PloS one · 2015Article
- Promise and reality in the expanding field of network interaction analysis: metabolic networks.Bioinformatics and biology insights · 2014Article
- Partial inhibition and bilevel optimization in flux balance analysis.BMC bioinformatics · 2013Article
- Functional genomics of Plasmodium falciparum using metabolic modelling and analysis.Briefings in functional genomics · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe search for new drug targets for antibiotics against Plasmodium falciparum, a major cause of human deaths, is a pressing scientific issue, as multiple resistance strains spread rapidly. Metabolic network-based analyses may help to identify those parasite's essential enzymes whose homologous counterparts in the human host cells are either absent, non-essential or relatively less essential.
resultsUsing the well-curated metabolic networks PlasmoNet of the parasite Plasmodium falciparum and HepatoNet1 of the human hepatocyte, the selectivity of 48 experimental antimalarial drug targets was analyzed. Applying in silico gene deletions, 24 of these drug targets were found to be perfectly selective, in that they were essential for the parasite but non-essential for the human cell. The selectivity of a subset of enzymes, that were essential in both models, was evaluated with the reduced fitness concept. It was, then, possible to quantify the reduction in functional fitness of the two networks under the progressive inhibition of the same enzymatic activity. Overall, this in silico analysis provided a selectivity ranking that was in line with numerous in vivo and in vitro observations.
conclusionsGenome-scale models can be useful to depict and quantify the effects of enzymatic inhibitions on the impaired production of biomass components. From the perspective of a host-pathogen metabolic interaction, an estimation of the drug targets-induced consequences can be beneficial for the development of a selective anti-parasitic drug.
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.