Evidence map›Paper›PMID 35798732›Full record

ArticleNature communications2022

Low-cost anti-mycobacterial drug discovery using engineered E. coli.

Nadine Bongaerts, Zainab Edoo, Ayan A Abukar, Xiaohu Song, Sebastián Sosa-Carrillo, Sarah Haggenmueller, Juline Savigny, Sophie Gontier, Ariel B Lindner, Edwin H Wintermute

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. A prototrophic suppressor of aJournal of bacteriology · 2024
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  4. The SARS-CoV-2 MACS synthetic biology · 2024
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  5. Article
  6. Article
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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

10 authors at 2 institutions in 1 country.

Nadine BongaertsUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France.ORCID 0000-0002-6517-4744
Zainab EdooSorbonne Université, Université Paris Cité, Inserm, Centre de Recherche des Cordeliers (CRC), Paris, France.
Ayan A AbukarUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France.ORCID 0000-0002-0370-2919
Xiaohu SongUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France.
Sebastián Sosa-CarrilloUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France.
Sarah HaggenmuellerUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France.ORCID 0000-0003-0927-2603
Juline SavignyUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France.
Sophie GontierUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France.ORCID 0000-0001-8784-203X
Ariel B LindnerUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France. ariel.lindner@inserm.fr.ORCID 0000-0001-5015-6511
Edwin H WintermuteUniversité Paris Cité, Inserm, System Engineering and Evolution Dynamics, Paris, France. jake.wintermute@cri-paris.org.
Inserm · FRESI Group (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-cell screening for Mycobacterium tuberculosis (Mtb) inhibitors is complicated by the pathogen's slow growth and biocontainment requirements. Here we present a synthetic biology framework for assaying Mtb drug targets in engineered E. coli. We construct Target Essential Surrogate E. coli (TESEC) in which an essential metabolic enzyme is deleted and replaced with an Mtb-derived functional analog, linking bacterial growth to the activity of the target enzyme. High throughput screening of a TESEC model for Mtb alanine racemase (Alr) revealed benazepril as a targeted inhibitor, a result validated in whole-cell Mtb. In vitro biochemical assays indicated a noncompetitive mechanism unlike that of clinical Alr inhibitors. We establish the scalability of TESEC for drug discovery by characterizing TESEC strains for four additional targets.

Indexed as

Alanine RacemaseMycobacterium tuberculosisAntitubercular AgentsDrug DiscoveryEscherichia coliHigh-Throughput Screening AssaysAlanine RacemaseAntitubercular Agents

Identifiers

PMID35798732
PMCPMC9262897
OpenAlexW4284698346

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.