Evidence map›Paper›PMID 34522860›Full record

ArticleiScience2021

Activation of gene expression by detergent-like protein domains.

Bradley K Broyles, Andrew T Gutierrez, Theodore P Maris, Daniel A Coil, Thomas M Wagner, Xiao Wang, Daisuke Kihara, Caleb A Class, Alexandre M Erkine

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Commonly asked questions about transcriptional activation domains.Current opinion in structural biology · 2024
    Review
  10. 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

9 authors.

Bradley K BroylesCollege of Pharmacy and Health Sciences, Butler University, Indianapolis, IN 46208, USA.
Andrew T GutierrezCollege of Pharmacy and Health Sciences, Butler University, Indianapolis, IN 46208, USA.
Theodore P MarisCollege of Pharmacy and Health Sciences, Butler University, Indianapolis, IN 46208, USA.
Daniel A CoilCollege of Pharmacy and Health Sciences, Butler University, Indianapolis, IN 46208, USA.
Thomas M WagnerCollege of Pharmacy and Health Sciences, Butler University, Indianapolis, IN 46208, USA.
Xiao WangDepartment of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
Daisuke KiharaDepartment of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
Caleb A ClassCollege of Pharmacy and Health Sciences, Butler University, Indianapolis, IN 46208, USA.
Alexandre M ErkineCollege of Pharmacy and Health Sciences, Butler University, Indianapolis, IN 46208, USA.

Funding

Building protein structure models for intermediate resolution cryo-electron microscopy mapsR01GM133840 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2020 to 2023
$1.6M
Structural Modeling of Multifarious Protein ComplexesR01GM123055 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM123055NIGMS NIH HHS R01 GM133840
6 · The paper itself

Abstract

The mechanisms by which transcriptional activation domains (tADs) initiate eukaryotic gene expression have been an enigma for decades because most tADs lack specificity in sequence, structure, and interactions with targets. Machine learning analysis of data sets of tAD sequences generated

Indexed as

BioinformaticsBiological scienceschromatinComputational bioinformaticsgene activationIDRmachine learningMolecular biologyneural networknucleosometranscriptional regulation

Identifiers

PMID34522860
PMCPMC8426559

What OpenQuestion holds

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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.