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Updated: Oct 9, 2025
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Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
Published on: October 7, 2021
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: ComplexOme-Structural Network Interpreter used to study spatial enrichment in metazoan ribosomes
Federico Martinez-Seidel1,2, Yin-Chen Hsieh1,3, Dirk Walther1
1Willmitzer Department, Max-Planck-Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
BMC Bioinformatics
|December 21, 2021
Summary
A new computational method, ComplexOme-Structural Network Interpreter, analyzes ribosomal protein abundance changes and spatial organization. It reveals that depleted ribosomal proteins in yeast are localized near tRNA binding sites.
Area of Science:
- Computational biology
- Structural biology
- Systems biology
Background:
- Ribosomes undergo compositional changes in response to environmental stimuli, affecting their structure and function.
- Understanding the spatial organization of ribosomal proteins (rProteins) is crucial for deciphering these functional modulations.
Purpose of the Study:
- To develop a computational method for analyzing the spatial distribution of rProteins within the ribosomal complex.
- To test if rProteins with altered abundance under specific conditions are confined to particular structural regions.
Main Methods:
- The ComplexOme-Structural Network Interpreter () translates protein structures into graphs, representing proteins as nodes and proximity as edges.
- A random walk with restart methodology defines spatial regions, with edge weights reflecting protein proximity to guide the walk.
- Protein abundance data is mapped onto the graph to test for enrichment within these defined regions.
Main Results:
- Application of to yeast, rabbit, and wheat cytosolic ribosomes revealed condition-specific spatial constraints of rProteins.
- In yeast, substoichiometric rProteins depleted from translating polysomes were significantly localized to a region near tRNA entry and exit sites.
Conclusions:
- provides a method to partition multi-protein complexes into structural regions and statistically assess protein subset enrichment.
- The method is broadly applicable to any multi-protein complex with available structural and abundance data.
- The tool is publicly available on GitHub for wider scientific use.
Keywords:
Omics integrationRibosomal protein substoichiometryRibosome structureSpecialized ribosomesStructural systems biologyMore Related Videos
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