Evidence map›Paper›PMID 36305870›Full record

ArticleNucleic acids research2023

RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures.

Artem Kushner, Anton S Petrov, Khanh Dao Duc

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

3 authors.

Artem KushnerDepartment of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada.
Anton S PetrovNASA Center for the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA.ORCID 0000-0003-3359-7299
Khanh Dao DucDepartment of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada.ORCID 0000-0002-9685-5171

Funding

Improving membrane proteins' 3D reconstructions with cryo-electron microscopyR01GM144965 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI MIOLANE, NINA · 2021 to 2023
$600k
NIGMS NIH HHS R01 GM144965
6 · The paper itself

Abstract

Recent advances in Cryo-EM led to a surge of ribosome structures deposited over the past years, including structures from different species, conformational states, or bound with different ligands. Yet, multiple conflicts of nomenclature make the identification and comparison of structures and ortholog components challenging. We present RiboXYZ (available at https://ribosome.xyz), a database that provides organized access to ribosome structures, with several tools for visualisation and study. The database is up-to-date with the Protein Data Bank (PDB) but provides a standardized nomenclature that allows for searching and comparing ribosomal components (proteins, RNA, ligands) across all the available structures. In addition to structured and simplified access to the data, the application has several specialized visualization tools, including the identification and prediction of ligand binding sites, and 3D superimposition of ribosomal components. Overall, RiboXYZ provides a useful toolkit that complements the PDB database, by implementing the current conventions and providing a set of auxiliary tools that have been developed explicitly for analyzing ribosome structures. This toolkit can be easily accessed by both experts and non-experts in structural biology so that they can search, visualize and compare structures, with various potential applications in molecular biology, evolution, and biochemistry.

Indexed as

Databases, FactualRibosomesBinding SitesMolecular BiologyProteinsRNAProteinsRNA

Identifiers

PMID36305870
PMCPMC9825457

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.