Evidence map›Paper›PMID 29781014›Full record

ArticleChemical communications (Cambridge, England)2018

cat-ELCCA: catalyzing drug discovery through click chemistry.

Amanda L Garner

Abstract read
In one paragraph

Article in Chemical communications (Cambridge, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Diversity Oriented Clicking for Modular Synthesis.Nature reviews. Methods primers · 2025
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  11. RNA-Targeted Therapies and High-Throughput Screening Methods.International journal of molecular sciences · 2020
    Review
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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 at 1 institution in 1 country.

Amanda L GarnerDepartment of Medicinal Chemistry, College of Pharmacy, University of Michigan, 1600 Huron Parkway, NCRC B520, Ann Arbor, Michigan 48109, USA. algarner@umich.edu.
University of Michigan · US

Funding

4E-BP Mimetics as Chemical Probes for Studying Translational Control in CancerR01CA202018 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARNER, AMANDA · 2016 to 2020
$1.8M
Discovery of Selective Small Molecule Probes for pre-microRNAsR01GM118329 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARNER, AMANDA · 2016 to 2018
$930k
NCI NIH HHS R01 CA202018NIGMS NIH HHS R01 GM118329
6 · The paper itself

Abstract

Click chemistry has emerged as a powerful tool in our arsenal for unlocking new biology. This includes its utility in both chemical biology and drug discovery. An emerging application of click chemistry is in the development of biochemical assays for high-throughput screening to identify new chemical probes and drug leads. This Feature Article will discuss the advancements in click chemistry that were necessary for the development of a new class of biochemical assay, catalytic enzyme-linked click chemistry assay or cat-ELCCA. Inspired by enzyme immunoassays, cat-ELCCA was designed as a click chemistry-based amplification assay where bioorthogonally-tagged analytes and enzymes are used in place of the enzyme-linked secondary antibodies used in immunoassays. The result is a robust assay format with demonstrated applicability in several important areas of biology and drug discovery, including post-translational modifications, pre-microRNA maturation, and protein-protein and RNA-protein interactions. Through the use of cat-ELCCA and other related click chemistry-based assays, new chemical probes for interrogating promising drug targets have been discovered. These examples will be discussed, in addition to a future outlook on the impact of this approach in probe and drug discovery.

Identifiers

PMID29781014
PMCPMC6008226
OpenAlexW2803084299

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.