Evidence map›Paper›PMID 32882008›Full record

ArticleNucleic acids research2021

TBDB: a database of structurally annotated T-box riboswitch:tRNA pairs.

Jorge A Marchand, Merrick D Pierson Smela, Thomas H H Jordan, Kamesh Narasimhan, George M Church

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Serine Biosynthesis ofInternational journal of molecular sciences · 2021
    Article
  11. 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 2 institutions in 2 countries.

Jorge A MarchandDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Merrick D Pierson SmelaDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Thomas H H JordanInstitute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Kamesh NarasimhanDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
George M ChurchDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Harvard University · USÉcole Polytechnique Fédérale de Lausanne · CH

Funding

National Science FoundationUS Department of Energy DE-FG02-02ER63445
6 · The paper itself

Abstract

T-box riboswitches constitute a large family of tRNA-binding leader sequences that play a central role in gene regulation in many gram-positive bacteria. Accurate inference of the tRNA binding to T-box riboswitches is critical to predict their cis-regulatory activity. However, there is no central repository of information on the tRNA binding specificities of T-box riboswitches, and de novo prediction of binding specificities requires advanced knowledge of computational tools to annotate riboswitch secondary structure features. Here, we present the T-box Riboswitch Annotation Database (TBDB, https://tbdb.io), an open-access database with a collection of 23,535 T-box riboswitch sequences, spanning the major phyla of 3,632 bacterial species. Among structural predictions, the TBDB also identifies specifier sequences, cognate tRNA binding partners, and downstream regulatory targets. To our knowledge, the TBDB presents the largest collection of feature, sequence, and structural annotations carried out on this important family of regulatory RNA.

Indexed as

Databases, Nucleic AcidRiboswitchSoftwareBacteriaBase PairingBase SequenceInternetMolecular Sequence AnnotationNucleic Acid ConformationRNA, TransferRiboswitchRNA, Transfer

Identifiers

PMID32882008
PMCPMC7778990
OpenAlexW3083272059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.