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Updated: Sep 20, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

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Published on: July 16, 2017

RNA Structure Prediction, Analysis, and Design: An Introduction to Web-Based Tools.

Raphael Angelo I Zambrano¹, Carmen Hernandez-Perez¹, Melissa K Takahashi²

¹Department of Biology, California State University Northridge, Northridge, CA, USA.

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

|June 6, 2022

Summary

Researchers can now leverage advanced web-based tools for predicting RNA secondary structure and RNA-RNA hybridization. These computational methods aid in understanding RNA

Keywords:

Noncoding RNA RNA design tools RNA secondary structure prediction

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Analyzing and Building Nucleic Acid Structures with 3DNA

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Published on: April 26, 2013

Area of Science:

Computational Biology
Molecular Biology
Bioinformatics

Background:

RNA structure is crucial for understanding biological processes.
Computational algorithms using thermodynamics predict RNA secondary structure.
Intermolecular RNA interactions necessitate RNA-RNA hybridization prediction.

Purpose of the Study:

To review and highlight web-based tools for RNA structure analysis.
To guide researchers in selecting appropriate tools for RNA secondary structure prediction, RNA-RNA hybridization, and RNA design.
To elucidate the features and purposes of various web servers.

Main Methods:

Review of popular web servers and their functionalities.
Analysis of computational algorithms utilizing thermodynamics for RNA structure prediction.
Discussion of tools for predicting RNA-RNA hybridization and RNA design.

Main Results:

Identification of key features distinguishing different web-based RNA analysis tools.
Categorization of tools based on their specific applications (prediction, hybridization, design).
Overview of available resources for researchers investigating RNA structure and function.

Conclusions:

Web-based tools offer valuable resources for RNA structure and function studies.
Understanding the distinct features of these tools enhances their effective utilization.
Researchers can benefit from these computational resources in their investigations.