Evidence map›Paper›PMID 15078855›Full record

ArticleGenome research2004

Computational analysis of Plasmodium falciparum metabolism: organizing genomic information to facilitate drug discovery.

Iwei Yeh, Theodor Hanekamp, Sophia Tsoka, Peter D Karp, Russ B Altman

Abstract readComparative Study
In one paragraph

Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
–field-weighted citation impact
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

88 citing papers in PubMed.

  1. Discovery of novel repurposed anthelminthics againstCurrent research in parasitology & vector-borne diseases · 2026
    Article
  2. Article
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  6. Article
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  9. Pathway Driven Target Selection inFrontiers in cellular and infection microbiology · 2022
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Identification of Potential Drug Targets inPathogens (Basel, Switzerland) · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Computational Identification of Metabolic Pathways ofInternational journal of genomics · 2019
    Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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

5 authors.

Iwei YehDepartment of Genetics, Stanford University, Stanford, California 94305, USA.
Theodor Hanekamp
Sophia Tsoka
Peter D Karp
Russ B Altman

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007365 · NIGMS · STANFORD UNIVERSITY · PI CHUA, KATRIN F · 1985 to 2021
$33.8M
Robust Software Components for Model Organism DatabasesR01HG002729 · NHGRI · SRI INTERNATIONAL · PI KARP, PETER D · 2002 to 2003
$1.1M
NHGRI NIH HHS R01 HG002729NHGRI NIH HHS R01-HG02729-01NIGMS NIH HHS 5T32GM07365NIGMS NIH HHS T32 GM007365
6 · The paper itself

Abstract

Identification of novel targets for the development of more effective antimalarial drugs and vaccines is a primary goal of the Plasmodium genome project. However, deciding which gene products are ideal drug/vaccine targets remains a difficult task. Currently, a systematic disruption of every single gene in Plasmodium is technically challenging. Hence, we have developed a computational approach to prioritize potential targets. A pathway/genome database (PGDB) integrates pathway information with information about the complete genome of an organism. We have constructed PlasmoCyc, a PGDB for Plasmodium falciparum 3D7, using its annotated genomic sequence. In addition to the annotations provided in the genome database, we add 956 additional annotations to proteins annotated as "hypothetical" using the GeneQuiz annotation system. We apply a novel computational algorithm to PlasmoCyc to identify 216 "chokepoint enzymes." All three clinically validated drug targets are chokepoint enzymes. A total of 87.5% of proposed drug targets with biological evidence in the literature are chokepoint reactions. Therefore, identifying chokepoint enzymes represents one systematic way to identify potential metabolic drug targets.

Indexed as

Genome, ProtozoanAlgorithmsAnimalsCatalysisComputational BiologyDatabases, GeneticEnzyme InhibitorsEscherichia coliEscherichia coli ProteinsGenes, BacterialGenes, EssentialGenes, ProtozoanGenomicsHumansModels, ChemicalPlasmodium falciparumEnzyme InhibitorsEscherichia coli ProteinsProtozoan Proteins

Identifiers

PMID15078855
PMCPMC479120

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.