Evidence map›Paper›PMID 24454817›Full record

ArticlePloS one2014

Metabolic network analysis-based identification of antimicrobial drug targets in category A bioterrorism agents.

Yong-Yeol Ahn, Deok-Sun Lee, Henry Burd, William Blank, Vinayak Kapatral

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Network-Based Metabolism-Centered Screening of Potential Drug Targets inFrontiers in cellular and infection microbiology · 2019
    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

5 authors.

Yong-Yeol AhnSchool of Informatics and Computing, Indiana University, Bloomington, Indiana, United States of America.
Deok-Sun LeeDepartment of Natural Medical Sciences and Department of Physics, Inha University, Incheon, Korea.
Henry BurdIgenbio.Inc, Chicago, Illinois, United States of America.
William BlankIgenbio.Inc, Chicago, Illinois, United States of America.
Vinayak KapatralIgenbio.Inc, Chicago, Illinois, United States of America.

Funding

Integrated Antimicrobial Drug Discovery Scheme for Multidrug Resistant BacteriaU01AI070499 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI OLTVAI, ZOLTAN N. · 2006 to 2010
$3.0M
NIAID NIH HHS 5U01AI070499-02NIAID NIH HHS U01 AI070499
6 · The paper itself

Abstract

The 2001 anthrax mail attacks in the United States demonstrated the potential threat of bioterrorism, hence driving the need to develop sophisticated treatment and diagnostic protocols to counter biological warfare. Here, by performing flux balance analyses on the fully-annotated metabolic networks of multiple, whole genome-sequenced bacterial strains, we have identified a large number of metabolic enzymes as potential drug targets for each of the three Category A-designated bioterrorism agents including Bacillus anthracis, Francisella tularensis and Yersinia pestis. Nine metabolic enzymes- belonging to the coenzyme A, folate, phosphatidyl-ethanolamine and nucleic acid pathways common to all strains across the three distinct genera were identified as targets. Antimicrobial agents against some of these enzymes are available. Thus, a combination of cross species-specific antibiotics and common antimicrobials against shared targets may represent a useful combinatorial therapeutic approach against all Category A bioterrorism agents.

Indexed as

BioterrorismAnti-Infective AgentsBacillus anthracisFrancisella tularensisYersinia pestisAnti-Infective Agents

Identifiers

PMID24454817
PMCPMC3893172

What OpenQuestion holds

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Registered trials

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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.