Evidence map›Paper›PMID 32283661›Full record

ArticleMetabolites2020

Metabolic Fingerprinting with Fourier-Transform Infrared (FTIR) Spectroscopy: Towards a High-Throughput Screening Assay for Antibiotic Discovery and Mechanism-of-Action Elucidation.

Bernardo Ribeiro da Cunha, Luís P Fonseca, Cecília R C Calado

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Metabolic response of Klebsiella oxytoca to ciprofloxacin exposure: a metabolomics approach.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  5. Review
  6. Sensing of Antibiotic-Bacteria Interactions.Antibiotics (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
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

3 authors at 2 institutions in 1 country.

Bernardo Ribeiro da CunhaiBB-Institute of Bioengineering and Biosciences, Instituto Superior Técnico (IST), Universidade de Lisboa (UL), Av. Rovisco Pais, 1049-001 Lisboa, Portugal.ORCID 0000-0002-0303-9416
Luís P FonsecaiBB-Institute of Bioengineering and Biosciences, Instituto Superior Técnico (IST), Universidade de Lisboa (UL), Av. Rovisco Pais, 1049-001 Lisboa, Portugal.
Cecília R C CaladoISEL-Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa (IPL), R. Conselheiro Emídio Navarro 1, 1959-007 Lisboa Portugal.ORCID 0000-0002-5264-9755
University of Lisbon · PTInstituto Politécnico de Lisboa · PT

Funding

ISEL IDI&CA/IPL/2017/DrugsPlatf/ISELISEL IDI&CA/IPL/2018/RenalProg/ISEL
6 · The paper itself

Abstract

The discovery of antibiotics has been slowing to a halt. Phenotypic screening is once again at the forefront of antibiotic discovery, yet Mechanism-Of-Action (MOA) identification is still a major bottleneck. As such, methods capable of MOA elucidation coupled with the high-throughput screening of whole cells are required now more than ever, for which Fourier-Transform Infrared (FTIR) spectroscopy is a promising metabolic fingerprinting technique. A high-throughput whole-cell FTIR spectroscopy-based bioassay was developed to reveal the metabolic fingerprint induced by 15 antibiotics on the

Indexed as

antibiotic discoverychemometricsEscherichia coliFourier-Transform infrared (FTIR) spectroscopyhigh-throughput screeningmechanism-of-action (MOA)metabolic fingerprintingmultivariate analysis

Identifiers

PMID32283661
PMCPMC7240953
OpenAlexW3015707049

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.