Evidence map›Paper›PMID 31097981›Full record

ArticleACS medicinal chemistry letters2019

Focusing on Relevance: CETSA-Guided Medicinal Chemistry and Lead Generation.

Stina Lundgren

Abstract readEditorial
In one paragraph

Article in ACS medicinal chemistry letters, 2019. 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
–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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. 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

1 author.

Stina LundgrenPelago Bioscience AB, Solna 17148, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Confirmation of target engagement in relevant physiological environment ensures successful drug discovery and the right project prioritization. The Cellular Thermal Shift Assay (CETSA) offers a robust label-free method for studying protein-compound interactions in a cellular environment. This Viewpoint covers the broad applicability of CETSA in lead generation. The method can be used for deconvolution studies, target validation, screening of compound libraries, and hit confirmation. Moreover, the method is well suited for generation of relevant structure-activity relationship (SAR) data, enabling optimal compound design.

Identifiers

PMID31097981
PMCPMC6511951

What OpenQuestion holds

Textmetadata
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.