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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Protein Networks

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The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
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Related Experiment Video

Updated: Jul 3, 2026

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Published on: May 24, 2017

RNApedia: a database of structural protein-RNA interactions.

Luana Luiza Bastos¹, Diego Mariano¹, Pedro M Martins¹

¹Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Frontiers in Bioinformatics

|July 2, 2026

Summary

This summary is machine-generated.

RNApedia is a new database for exploring protein-RNA interactions, offering structural and affinity data for 56,133 pairs. This resource aids structural bioinformatics and AI-driven research in gene expression and cellular homeostasis.

Keywords:

PDB-derived data curated dataset machine learning dataset molecular interfaces protein-RNA interactions structural bioinformatics

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Area of Science:

Biochemistry
Structural Biology
Bioinformatics

Background:

Protein-RNA interactions are crucial for gene expression and cellular processes.
Existing structural databases lack comprehensive, curated data on protein-RNA complexes.
There is a growing need for computational tools to analyze these interactions for biotechnological applications.

Purpose of the Study:

To develop RNApedia, a specialized, curated database for protein-RNA complex structural information.
To provide a user-friendly web interface for accessing and exploring detailed interaction data.
To create a comprehensive resource for structural bioinformatics and data-driven research.

Main Methods:

Systematic analysis of 56,133 protein-RNA pairs.
Integration of structural descriptors: surface areas, atomic contacts, interaction types.
Inclusion of RNA classification, protein domains, RNA modifications, and affinity data.

Main Results:

RNApedia integrates diverse structural and functional data for a large set of protein-RNA interactions.
The database provides detailed descriptors, including accessible/hidden surface areas and atomic contacts.
It includes information on RNA types, protein domains, modifications, and binding affinities.

Conclusions:

RNApedia is a scalable and integrative platform for exploring protein-RNA interactions.
It serves as a valuable resource for structural bioinformatics and artificial intelligence applications.
The freely available data facilitates further research in gene regulation and biotechnology.