Evidence map›Paper›PMID 29112379›Full record

ArticleACS combinatorial science2017

High-Throughput Chemical Probing of Full-Length Protein-Protein Interactions.

James M Song, Arya Menon, Dylan C Mitchell, Oleta T Johnson, Amanda L Garner

Abstract read
In one paragraph

Article in ACS combinatorial science, 2017. 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
1.4field-weighted citation impact, top 21% 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, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. RNA-Targeted Therapies and High-Throughput Screening Methods.International journal of molecular sciences · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. cat-ELCCA: catalyzing drug discovery through click chemistry.Chemical communications (Cambridge, England) · 2018
    Article
  12. Article
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

5 authors at 1 institution in 1 country.

James M SongProgram in Chemical Biology and ‡Department of Medicinal Chemistry, College of Pharmacy, University of Michigan , Ann Arbor, Michigan 48109, United States.
Arya MenonProgram in Chemical Biology and ‡Department of Medicinal Chemistry, College of Pharmacy, University of Michigan , Ann Arbor, Michigan 48109, United States.
Dylan C MitchellProgram in Chemical Biology and ‡Department of Medicinal Chemistry, College of Pharmacy, University of Michigan , Ann Arbor, Michigan 48109, United States.
Oleta T JohnsonProgram in Chemical Biology and ‡Department of Medicinal Chemistry, College of Pharmacy, University of Michigan , Ann Arbor, Michigan 48109, United States.
Amanda L GarnerProgram in Chemical Biology and ‡Department of Medicinal Chemistry, College of Pharmacy, University of Michigan , Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-0870-3347
University of Michigan · US

Funding

Research Training in BiogerontologyT32AG000114 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCOTT PLETCHER · 1985 to 2026
$12.4M
Cellular Biotechnology Training Program (CBTP)T32GM008353 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHWENDEMAN, ANNA · 1991 to 2021
$9.3M
MICHIGAN CHEMISTRY-BIOLOGY INTERFACE TRAINING PROGRAMT32GM008597 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MONTGOMERY, JOHN · 1996 to 2018
$5.0M
Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
Cellular Biotechnology Training Program (CBTP) - Years 31-35T32GM145304 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Guizhi Zhu · 2022 to 2026
$2.6M
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
NCI NIH HHS R01 CA202018NCI NIH HHS T32 CA140044NIA NIH HHS T32 AG000114NIGMS NIH HHS T32 GM008353NIGMS NIH HHS T32 GM008597NIGMS NIH HHS T32 GM145304
6 · The paper itself

Abstract

Human biology is regulated by a complex network of protein-protein interactions (PPIs), and disruption of this network has been implicated in many diseases. However, the targeting of PPIs remains a challenging area for chemical probe and drug discovery. Although many methodologies have been put forth to facilitate these efforts, new technologies are still needed. Current biochemical assays for PPIs are typically limited to motif-domain and domain-domain interactions, and assays that will enable the screening of full-length protein systems, which are more biologically relevant, are sparse. To overcome this barrier, we have developed a new assay technology, "PPI catalytic enzyme-linked click chemistry assay" or PPI cat-ELCCA, which utilizes click chemistry to afford catalytic signal amplification. To validate this approach, we have applied PPI cat-ELCCA to the eIF4E-4E-BP1  and eIF4E-eIF4G PPIs, key regulators of cap-dependent mRNA translation. Using these examples, we have demonstrated that PPI cat-ELCCA is amenable to full-length proteins, large (>200 kDa) and small (∼12 kDa), and is readily adaptable to automated high-throughput screening. Thus, PPI cat-ELCCA represents a powerful new tool in the toolbox of assays available to scientists interested in the targeting of disease-relevant PPIs.

Indexed as

Binding SitesHigh-Throughput Screening AssaysHumansProtein BindingProteinsThermodynamicsProteinschemical probesclick chemistryhigh-throughput screeningprotein−protein interactions

Identifiers

PMID29112379
PMCPMC5939945
OpenAlexW2767204571

What OpenQuestion holds

Textmetadata
LicenceTDM
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.