Campus Units

Genetics, Development and Cell Biology, Bioinformatics and Computational Biology

Document Type

Article

Publication Version

Published Version

Publication Date

2013

Journal or Book Title

Journal of Computer Science and Computational Biology

Volume

6

Issue

4

First Page

182

Last Page

187

DOI

10.4172/jcsb.1000115

Abstract

RNA-protein interactions are important in a wide variety of cellular and developmental processes. Recently, high-throughput experiments have begun to provide valuable information about RNA partners and binding sites for many RNA-binding proteins (RBPs), but these experiments are expensive and time consuming. Thus, computational methods for predicting RNA-Protein interactions (RPIs) can be valuable tools for identifying potential interaction partners of a given protein or RNA, and for identifying likely interfacial residues in RNA-protein complexes. This review focuses on the “partner prediction” problem and summarizes available computational methods, web servers and databases that are devoted to it. New computational tools for addressing the related “interface prediction” problem are also discussed. Together, these computational methods for investigating RNA-protein interactions provide the basis for new strategies for integrating RNA-protein interactions into existing genetic and developmental regulatory networks, an important goal of future research.

Comments

This article is from Journal of Computer Science and Systems Biology 6 (2013): 182–187, doi:10.4172/jcsb.1000115. Posted with permission.

Rights

© 2013 Muppirala UK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Copyright Owner

Muppirala UK, et al.

Language

en

File Format

application/pdf

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