RNALOSS: a web server for RNA locally optimal secondary structures.

Area of Science:

• * Molecular Biology and Bioinformatics
• * Computational Biology and Structural Bioinformatics

Background:

• * RNAomics involves studying the structure, function, and regulation of all RNA molecules within an organism.
• * Emerging roles of small RNAs (microRNA, small interfering RNA) and catalytic RNAs (ribozymes) highlight the importance of understanding RNA folding.
• * RNA folding pathways can be complex, influenced by the formation of locally optimal secondary structures that may act as kinetic traps.

Purpose of the Study:

• * To introduce RNALOSS, a web server designed to analyze RNA folding.
• * To provide insights into the distribution of locally optimal secondary structures in RNA sequences.
• * To aid in the design of RNA sequences with predictable and efficient folding properties.

Main Methods:

• * Development of the RNALOSS web server.
• * Analysis of the distribution of locally optimal secondary structures.
• * Assessment of potential kinetic traps within RNA folding pathways.

Main Results:

• * RNALOSS provides information on the distribution of locally optimal secondary structures.
• * The tool can identify potential kinetic traps that may impede efficient RNA folding.
• * Results can guide the design of RNA sequences with improved folding characteristics.

Conclusions:

• * RNALOSS is a valuable tool for RNA sequence design and folding analysis.
• * Understanding the distribution of locally optimal secondary structures is crucial for predicting folding robustness.
• * The server facilitates the design of RNA molecules with both low folding energy and rapid, reliable folding pathways.