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Updated: Aug 12, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

Network-Based Structural Alignment of RNA Sequences Using TOPAS.

Chun-Chi Chen¹, Hyundoo Jeong², Xiaoning Qian^3,4

¹Department of Electrical Engineering, National Chiayi University, Chiayi City, Taiwan.

Methods in Molecular Biology (Clifton, N.J.)

|January 27, 2023

Summary

TOPAS (TOPological network-based Alignment of Structural RNAs) offers efficient and accurate RNA alignment by representing RNAs as networks. This method reduces computational cost and improves results, especially for complex RNA structures.

Keywords:

Network alignment Network-based RNA alignment RNA structural alignment

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Area of Science:

Bioinformatics
Computational Biology
Structural Biology

Background:

RNA alignment is crucial for understanding RNA function and evolution.
Traditional algorithms like Sankoff-style methods face computational challenges.
Handling complex RNA structures, including pseudoknots, remains a challenge.

Purpose of the Study:

To introduce TOPAS (TOPological network-based Alignment of Structural RNAs), a novel network-based RNA alignment algorithm.
To improve the efficiency and accuracy of pairwise RNA alignment.
To enable alignment of RNAs with complex folding structures, including pseudoknots.

Main Methods:

Constructing topological network representations of RNAs, incorporating sequential and structural information.
Assigning weights to structural edges based on estimated base-pairing probabilities.
Utilizing probabilistic network alignment techniques to align RNA networks.
Comparing TOPAS performance against traditional Sankoff-style algorithms.

Main Results:

TOPAS achieves significant reductions in computational cost compared to traditional methods.
The algorithm yields favorable alignment results, considering both sequence and structural similarity.
TOPAS demonstrates capability in handling arbitrary folding structures, including pseudoknots.
The network-based approach provides structurally sound RNA alignments.

Conclusions:

TOPAS offers an efficient and accurate alternative for pairwise RNA alignment.
The network-based approach effectively integrates sequence and structural information.
TOPAS shows promise for more accurate RNA alignment, particularly for RNAs with complex topologies.