Sfold web server for statistical folding and rational design of nucleic acids

Area of Science:

• Computational Biology
• Bioinformatics
• Molecular Biology

Background:

• RNA secondary structure prediction is crucial for understanding gene function and regulation.
• Developing computational tools for rational design of RNA-targeting nucleic acids is essential for gene knockdown studies.

Purpose of the Study:

• To introduce the Sfold web server and its underlying RNA folding software.
• To provide computational tools for the rational design of RNA-targeting nucleic acids, including siRNAs, antisense oligonucleotides, and ribozymes.
• To enhance RNA target accessibility prediction by considering a population of possible structures.

Main Methods:

• Utilizes a novel statistical sampling paradigm for RNA secondary structure prediction.
• Integrates RNA target accessibility prediction, siRNA duplex thermodynamics, and empirical design rules for siRNA design.
• Extends the RNA folding algorithm to account for multiple possible structures of target mRNA.

Main Results:

• The Sfold web server provides user-friendly access to the Sfold software.
• Offers application modules (Sirna, Soligo, Sribo) for designing siRNAs, antisense oligos, and ribozymes.
• Provides comprehensive statistical representation of sampled structures and detailed graphical/textual output.

Conclusions:

• The Sfold server is a valuable resource for researchers involved in RNA-targeting nucleic acid design.
• The novel approach to target accessibility prediction improves the rational design of gene-silencing agents.
• The software facilitates gene knockdown studies through enhanced computational tools.