Evidence map›Paper›PMID 20807400›Full record

ArticleBMC systems biology2010

Antimalarial drug targets in Plasmodium falciparum predicted by stage-specific metabolic network analysis.

Carola Huthmacher, Andreas Hoppe, Sascha Bulik, Hermann-Georg Holzhütter

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Metabolic modelling approaches for describing and engineering microbial communities.Computational and structural biotechnology journal · 2021
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Computational Identification of Metabolic Pathways ofInternational journal of genomics · 2019
    Article
  13. Article
  14. Review
  15. Article
  16. In Silico Knockout Screening ofBioMed research international · 2018
    Article
  17. Lessons from the genomes and transcriptomes of filarial nematodes.Molecular and biochemical parasitology · 2017
    Review
  18. Genomics of apicomplexan parasites.Critical reviews in biochemistry and molecular biology · 2017
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Carola HuthmacherInstitute of Biochemistry, Charité, Monbijoustrasse 2, 10117 Berlin, Germany. carola.huthmacher@charite.de
Andreas Hoppe
Sascha Bulik
Hermann-Georg Holzhütter
Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite enormous efforts to combat malaria the disease still afflicts up to half a billion people each year of which more than one million die. Currently no approved vaccine is available and resistances to antimalarials are widely spread. Hence, new antimalarial drugs are urgently needed.

resultsHere, we present a computational analysis of the metabolism of Plasmodium falciparum, the deadliest malaria pathogen. We assembled a compartmentalized metabolic model and predicted life cycle stage specific metabolism with the help of a flux balance approach that integrates gene expression data. Predicted metabolite exchanges between parasite and host were found to be in good accordance with experimental findings when the parasite's metabolic network was embedded into that of its host (erythrocyte). Knock-out simulations identified 307 indispensable metabolic reactions within the parasite. 35 out of 57 experimentally demonstrated essential enzymes were recovered and another 16 enzymes, if additionally the assumption was made that nutrient uptake from the host cell is limited and all reactions catalyzed by the inhibited enzyme are blocked. This predicted set of putative drug targets, shown to be enriched with true targets by a factor of at least 2.75, was further analyzed with respect to homology to human enzymes, functional similarity to therapeutic targets in other organisms and their predicted potency for prophylaxis and disease treatment.

conclusionsThe results suggest that the set of essential enzymes predicted by our flux balance approach represents a promising starting point for further drug development.

Indexed as

Life Cycle StagesMetabolic Networks and PathwaysAnimalsAntimalarialsComputational BiologyErythrocytesGene Expression ProfilingHost-Pathogen InteractionsHumansPlasmodium falciparumReproducibility of ResultsAntimalarials

Identifiers

PMID20807400
PMCPMC2941759
OpenAlexW2165943792

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.