Evidence map›Paper›PMID 20127700›Full record

ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2010

Improved network performance via antagonism: From synthetic rescues to multi-drug combinations.

Adilson E Motter

Abstract read
In one paragraph

Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Antagonistic Phenomena in Network Dynamics.Annual review of condensed matter physics · 2018
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Sub-optimal phenotypes of double-knockout mutants of Escherichia coli depend on the order of gene deletions.Integrative biology : quantitative biosciences from nano to macro · 2015
    Article
  9. Article
  10. Review
  11. Review
  12. Realistic control of network dynamics.Nature communications · 2013
    Article
  13. Article
  14. Review
  15. Dispensability of Escherichia coli's latent pathways.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  16. Review
  17. Network synchronization landscape reveals compensatory structures, quantization, and the positive effect of negative interactions.Proceedings of the National Academy of Sciences of the United States of America · 2010
    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

1 author.

Adilson E MotterDepartment of Physics and Astronomy and Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL, USA.

Funding

TRANS-NETWORK PROJECTSU54CA143869 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WIDOM, JONATHAN · 2009 to 2013
$12.8M
NCI NIH HHS 1U54CA143869-01NCI NIH HHS U54 CA143869
6 · The paper itself

Abstract

Recent research shows that a faulty or sub-optimally operating metabolic network can often be rescued by the targeted removal of enzyme-coding genes - the exact opposite of what traditional gene therapy would suggest. Predictions go as far as to assert that certain gene knockouts can restore the growth of otherwise nonviable gene-deficient cells. Many questions follow from this discovery: What are the underlying mechanisms? How generalizable is this effect? What are the potential applications? Here, I approach these questions from the perspective of compensatory perturbations on networks. Relations are drawn between such synthetic rescues and naturally occurring cascades of reaction inactivation, as well as their analogs in physical and other biological networks. I specially discuss how rescue interactions can lead to the rational design of antagonistic drug combinations that select against resistance and how they can illuminate medical research on cancer, antibiotics, and metabolic diseases.

Indexed as

Drug Therapy, CombinationGene Regulatory NetworksMetabolic DiseasesAnimalsComputer SimulationDrug AntagonismGene Knockout TechniquesGenetic TherapyHumansMetabolic Networks and PathwaysNeoplasms

Identifiers

PMID20127700
PMCPMC2841822

What OpenQuestion holds

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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.