Evidence map›Paper›PMID 39956358›Full record

ArticleJournal of molecular biology2025

Dockground: The Resource Expands to Protein-RNA Interactome.

Keeley W Collins, Matthew M Copeland, Petras J Kundrotas, Ilya A Vakser

Abstract read
In one paragraph

Article in Journal of molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Keeley W CollinsComputational Biology Program, The University of Kansas, Lawrence, KS 66045, United States.
Matthew M CopelandComputational Biology Program, The University of Kansas, Lawrence, KS 66045, United States.
Petras J KundrotasComputational Biology Program, The University of Kansas, Lawrence, KS 66045, United States. Electronic address: pkundro@ku.edu.
Ilya A VakserComputational Biology Program, The University of Kansas, Lawrence, KS 66045, United States; Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, United States. Electronic address: vakser@ku.edu.

Funding

Integrated Resource for Protein Recognition StudiesR01GM074255 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI VAKSER, ILYA · 2005 to 2024
$6.2M
NIGMS NIH HHS R01 GM074255
6 · The paper itself

Abstract

RNA is a master regulator of cellular processes and will bind to many different proteins throughout its life cycle. Dysregulation of RNA and RNA-binding proteins can lead to various diseases, including cancer. To better understand molecular mechanisms of the cellular processes, it is important to characterize protein-RNA interactions at the structural level. There is a lack of experimental structures available for protein-RNA complexes due to the RNA inherent flexibility, which complicates the experimental structure determination. The scarcity of structures can be made up for with computational modeling. Dockground is a resource for development and benchmarking of structure-based modeling of protein interactions. It contains datasets focusing on different aspects of protein recognition. The foundation of all the datasets is the database of experimentally determined protein complexes, which previously contained only protein-protein assemblies. To further expand the utility of the Dockground resource, we extended the database to protein-RNA interactions. The new functionalities are available on the Dockground website at https://dockground.compbio.ku.edu/. The database can be searched using a number of criteria, including removal of redundancies at various sequence and structure similarity thresholds. The database updates with new structures from the Protein Data Bank on a weekly basis.

Indexed as

Databases, ProteinRNARNA-Binding ProteinsComputational BiologyHumansModels, MolecularProtein BindingSoftwareRNARNA-Binding Proteinsmolecular databasesmolecular recognitionprotein dockingprotein-RNA complexesstructural modeling

Identifiers

PMID39956358
PMCPMC12728978

What OpenQuestion holds

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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.