Evidence map›Paper›PMID 35194942›Full record

ArticleMolecular systems biology2022

Metabolomics paves the way for improved drug target identification.

Belinda B Garana, Nicholas A Graham

Abstract readComment
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Chemoproteomics, A Broad Avenue to Target Deconvolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  8. Review
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Belinda B GaranaMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-8906-5270
Nicholas A GrahamMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-6811-1941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Correctly identifying candidate drugs for protein targets is crucial for drug discovery. Despite the importance of this problem for the pharmaceutical industry, chemical screening remains a challenging task, and drug-target misidentification may contribute to failures in drug development. In their recent study, Sauer and colleagues (Holbrook-Smith et al, 2022) demonstrate proof-of-concept for a new way to identify drug-target interactions using high-throughput metabolomics, potentially paving the way towards a universal method for predicting drug-target relationships.

Indexed as

EukaryotaMetabolomicsDrug Discovery

Identifiers

PMID35194942
PMCPMC8864441

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.