Evidence map›Paper›PMID 38428431›Full record

ArticleStructure (London, England : 1993)2024

AutoRNC: An automated modeling program for building atomic models of ribosome-nascent chain complexes.

Robert T McDonnell, Adrian H Elcock

Open access · greenAbstract read
In one paragraph

Article in Structure (London, England : 1993), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Robert T McDonnellDepartment of Biochemistry & Molecular Biology, University of Iowa, Iowa City, IA, USA.
Adrian H ElcockDepartment of Biochemistry & Molecular Biology, University of Iowa, Iowa City, IA, USA. Electronic address: adrian-elcock@uiowa.edu.
University of Iowa · US

Funding

Molecular Simulations of the CellR35GM122466 · NIGMS · UNIVERSITY OF IOWA · PI ELCOCK, ADRIAN HAMILTON · 2017 to 2021
$2.5M
NIGMS NIH HHS R35 GM122466
6 · The paper itself

Abstract

The interpretation of experimental studies of co-translational protein folding often benefits from the use of computational methods that seek to model or simulate the nascent chain and its interactions with the ribosome. Building realistic 3D models of ribosome-nascent chain (RNC) constructs often requires expert knowledge, so to circumvent this issue, we describe here AutoRNC, an automated modeling program capable of constructing large numbers of plausible atomic models of RNCs within minutes. AutoRNC takes input from the user specifying any regions of the nascent chain that contain secondary or tertiary structure and attempts to build conformations compatible with those specifications-and with the constraints imposed by the ribosome-by sampling and progressively piecing together dipeptide conformations extracted from the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB). Despite using only modest computational resources, we show here that AutoRNC can build plausible conformations for a wide range of RNC constructs for which experimental data have already been reported.

Indexed as

Models, MolecularRibosomesSoftwareDatabases, ProteinProtein BiosynthesisProtein ConformationProtein Folding

Identifiers

PMID38428431
PMCPMC11073581
OpenAlexW4392302518

What OpenQuestion holds

Textmetadata
LicenceTDM
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.