Dockground: The Resource Expands to Protein-RNA Interactome

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.

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Publication Details

Journal
Journal of Molecular Biology
Published
2025-02-15
DOI
https://doi.org/10.1016/j.jmb.2025.169014
Citations
4
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
3.22

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article

Dockground: The Resource Expands to Protein-RNA Interactome

Keeley W. Collins, Ilya A. Vakser, Petras J. Kundrotas, Matthew M. Copeland
4 citations
Journal of Molecular Biology
RNA Research and Splicing
3.22
article

Dockground: The Resource Expands to Protein-RNA Interactome

Keeley W. Collins, Ilya A. Vakser, Petras J. Kundrotas, Matthew M. Copeland
article en
4 citations

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.

Journal of Molecular BiologyVol. 437(15)
University of Kansas (US)
National Science Foundation, National Institutes of Health
Zero hunger
Openalex Percentile: Top 9%
RNA Research and Splicing
3.22
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