Evidence map›Paper›PMID 31317739›Full record

ArticleACS infectious diseases2019

A Single Tool to Monitor Multiple Protein-Protein Interactions of the

Katherine Charov, Michael D Burkart

Abstract read
In one paragraph

Article in ACS infectious diseases, 2019. 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. 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

2 authors.

Katherine CharovDepartment of Chemistry and Biochemistry , University of California, San Diego , 9500 Gilman Drive , La Jolla , California 92093-0358 , United States.
Michael D BurkartDepartment of Chemistry and Biochemistry , University of California, San Diego , 9500 Gilman Drive , La Jolla , California 92093-0358 , United States.ORCID 0000-0002-4472-2254

Funding

Protein-Protein Interactions in Natural Product BiosynthesisR01GM095970 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BURKART, MICHAEL D. · 2012 to 2025
$5.9M
NIGMS NIH HHS R01 GM095970
6 · The paper itself

Abstract

Protein-protein interactions are ubiquitous to all domains of life and have gained recent interest as drug targets. However, many current methods to study protein-protein interactions can be costly and are low-throughput. Here, we demonstrate a solvatochromic tool based on the natural post-translational modification of the

Indexed as

Acyl Carrier ProteinBiosynthetic PathwaysCatalytic DomainEscherichia coliEscherichia coli ProteinsFluorescenceProtein BindingProtein Interaction MapsProtein Processing, Post-TranslationalAcyl Carrier ProteinEscherichia coli Proteinsacyl carrier protein interactomefatty acid biosynthesisin vitro drug screeningprotein−protein interactionssolvatochromism

Identifiers

PMID31317739
PMCPMC7607843

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.