Evidence map›Paper›PMID 38056064›Full record

ReviewCurrent opinion in structural biology2024

Commonly asked questions about transcriptional activation domains.

Aditya Udupa, Sanjana R Kotha, Max V Staller

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  9. A proteome-wide dependency map of protein interaction motifs.Nature structural & molecular biology · 2026
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  13. Zinc-Finger 5 Is an Activation Domain in theJournal of fungi (Basel, Switzerland) · 2025
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  17. Engineering a serum response factor superactivator of smooth muscle gene expression with a condensate-forming domain.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

3 authors.

Aditya UdupaDepartment of Molecular and Cell Biology, University of California, Berkeley, 94720, USA.
Sanjana R KothaDepartment of Molecular and Cell Biology, University of California, Berkeley, 94720, USA; Center for Computational Biology, University of California, Berkeley, 94720, USA.
Max V StallerDepartment of Molecular and Cell Biology, University of California, Berkeley, 94720, USA; Center for Computational Biology, University of California, Berkeley, 94720, USA; Chan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA. Electronic address: mstaller@berkeley.edu.

Funding

THE MOLECULAR BASIS OF CELL FUNCTIONT32GM007232 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BILDER, DAVID, UNAL, ELCIN · 1985 to 2022
$36.4M
Defining the protein sequence features that control transcriptional activation domain functionR35GM150813 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Max Valentin Staller · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150813NIGMS NIH HHS T32 GM007232
6 · The paper itself

Abstract

Eukaryotic transcription factors activate gene expression with their DNA-binding domains and activation domains. DNA-binding domains bind the genome by recognizing structurally related DNA sequences; they are structured, conserved, and predictable from protein sequences. Activation domains recruit chromatin modifiers, coactivator complexes, or basal transcriptional machinery via structurally diverse protein-protein interactions. Activation domains and DNA-binding domains have been called independent, modular units, but there are many departures from modularity, including interactions between these regions and overlap in function. Compared to DNA-binding domains, activation domains are poorly understood because they are poorly conserved, intrinsically disordered, and difficult to predict from protein sequences. This review, organized around commonly asked questions, describes recent progress that the field has made in understanding the sequence features that control activation domains and predicting them from sequence.

Indexed as

DNATranscription FactorsProtein BindingProtein DomainsTranscriptional ActivationDNATranscription FactorsActivation domainCoactivatorConvolutional neural networkIntrinsically disordered proteinProtein function predictionProtein-protein interactions (PPIs)RNA polymerase IITransactivation domainTranscriptionTranscriptional activation domainTranscription factor

Identifiers

PMID38056064
PMCPMC11193542

What OpenQuestion holds

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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.