CHSalign: A Web Server That Builds upon Junction-Explorer and RNAJAG for Pairwise Alignment of RNA Secondary Structures with Coaxial Helical Stacking
Lei Hua, Yang Song, Namhee Kim, Christian Laing, Jason T. L. Wang,, Tamar Schlick

TL;DR
CHSalign is a web-based tool that improves the alignment of RNA secondary structures with coaxial helical stacking motifs by building on Junction-Explorer and RNAJAG, offering higher accuracy for structures with similar junctions.
Contribution
The paper introduces CHSalign, a novel RNA secondary structure alignment method that incorporates coaxial stacking predictions and junction topology modeling for improved accuracy.
Findings
CHSalign outperforms existing tools in aligning RNA structures with CHS motifs.
The method achieves high scores for similar junctions and stacking patterns.
The web server implementation makes the tool accessible for researchers.
Abstract
RNA junctions are important structural elements of RNA molecules. They are formed when three or more helices come together in three-dimensional space. Recent studies have focused on the annotation and prediction of coaxial helical stacking (CHS) motifs within junctions. Here we exploit such predictions to develop an efficient alignment tool to handle RNA secondary structures with CHS motifs. Specifically, we build upon our Junction-Explorer software for predicting coaxial stacking and RNAJAG for modelling junction topologies as tree graphs to incorporate constrained tree matching and dynamic programming algorithms into a new method, called CHSalign, for aligning the secondary structures of RNA molecules containing CHS motifs. Thus, CHSalign is intended to be an efficient alignment tool for RNAs containing similar junctions. Experimental results based on thousands of alignments…
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Taxonomy
TopicsRNA and protein synthesis mechanisms · RNA Research and Splicing · RNA modifications and cancer
