Evidence map›Paper›PMID 35749361›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Mapping functional regions of essential bacterial proteins with dominant-negative protein fragments.

Andrew Savinov, Andres Fernandez, Stanley Fields

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. BoltzGen: Toward Universal Binder Design.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. High-throughput discovery of inhibitory protein fragments with AlphaFold.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. High-throughput discovery of inhibitory protein fragments with AlphaFold.bioRxiv : the preprint server for biology · 2024
    Article
  8. Review
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

3 authors at 1 institution in 1 country.

Andrew SavinovDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0002-0333-3199
Andres FernandezDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0001-8006-1724
Stanley FieldsDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0001-5504-5925
University of Washington · US

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI YATES III, JOHN R · 2012 to 2021
$20.7M
Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
Protein fragments as cotranslationally-acting inhibitorsF32GM134557 · NIGMS · UNIVERSITY OF WASHINGTON · PI SAVINOV, ANDREW · 2020 to 2022
$171k
NHGRI NIH HHS RM1 HG010461NIGMS NIH HHS F32 GM134557NIGMS NIH HHS P41 GM103533
6 · The paper itself

Abstract

Massively parallel measurements of dominant-negative inhibition by protein fragments have been used to map protein interaction sites and discover peptide inhibitors. However, the underlying principles governing fragment-based inhibition have thus far remained unclear. Here, we adapted a high-throughput inhibitory fragment assay for use in

Indexed as

Bacterial ProteinsPeptide FragmentsProtein Interaction MappingEscherichia coliProtein FoldingProtein Structure, SecondaryBacterial ProteinsPeptide Fragmentsdominant-negativeE. coliinhibitory peptidesmassively parallel measurementsprotein interactions

Identifiers

PMID35749361
PMCPMC9245647
OpenAlexW4283364868

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.