Evidence map›Paper›PMID 19444248›Full record

ReviewNature reviews. Microbiology2009

Drug interactions and the evolution of antibiotic resistance.

Pamela J Yeh, Matthew J Hegreness, Aviva Presser Aiden, Roy Kishony

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

182 citing papers in PubMed, 347 citations in OpenAlex.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
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122 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

4 authors at 2 institutions in 1 country.

Pamela J YehDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA.
Matthew J Hegreness
Aviva Presser Aiden
Roy Kishony
Harvard University · USCenter for Systems Biology · US

Funding

The population genetics of antibiotic resistance in multi-drug environmentsR01GM081617 · NIGMS · TECHNION-ISRAEL INSTITUTE OF TECHNOLOGY · PI KISHONY, ROY · 2007 to 2018
$3.7M
NIGMS NIH HHS R01 GM081617NIGMS NIH HHS R01GM081617
6 · The paper itself

Abstract

Large-scale, systems biology approaches now allow us to systematically map synergistic and antagonistic interactions between drugs. Consequently, drug antagonism is emerging as a powerful tool to study biological function and relatedness between cellular components as well as to uncover mechanisms of drug action. Furthermore, theoretical models and new experiments suggest that antagonistic interactions between antibiotics can counteract the evolution of drug resistance.

Indexed as

Drug InteractionsDrug Resistance, MicrobialDrug AntagonismDrug SynergismModels, TheoreticalSignal Transduction

Identifiers

PMID19444248
PMCPMC2855488
OpenAlexW2115076532

What OpenQuestion holds

Textmetadata
LicenceTDM
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.