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RNA Secondary Structure Prediction Using High-throughput SHAPE
Published on: May 31, 2013
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FledFold: A Novel Software for RNA Secondary Structure Prediction.
Qi Zhao1,2, Yuanning Liu1, Yunna Duan1
1Computer Science and Technology Department, Jilin University, Changchun, 130000, China.
Letters in Organic Chemistry
|November 11, 2017
Summary
FledFold is new RNA secondary structure prediction software. It combines thermodynamic and kinetic factors to predict RNA structures from sequences on personal computers, offering a user-friendly tool for researchers.
Area of Science:
- Computational Biology
- Bioinformatics
- Molecular Biology
Background:
- RNA secondary structure is crucial for understanding RNA mechanisms.
- Accurate prediction of RNA secondary structure is a key challenge in molecular biology.
Purpose of the Study:
- Introduce fledFold, a novel software for RNA secondary structure prediction.
- Develop a tool that combines thermodynamic and kinetic factors for enhanced prediction accuracy.
Main Methods:
- FledFold integrates thermodynamic and kinetic principles of RNA folding.
- The software predicts RNA secondary structures directly from primary sequences.
- Prediction is feasible on local personal computers.
Main Results:
- FledFold is implemented in C++ and runs on Windows 7 or later.
- Requires at least 2 GB of RAM.
- Provides a user-friendly interface and outputs results in multiple formats.
Conclusions:
- FledFold serves as a valuable tool for RNA research.
- The software is freely downloadable, promoting accessibility for the scientific community.
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