Next Article in Journal
Specific LTR-Retrotransposons Show Copy Number Variations between Wild and Cultivated Sunflowers
Previous Article in Journal
Comparative Transcriptomics of Root Development in Wild and Cultivated Carrots
Previous Article in Special Issue
RNA Structure Elements Conserved between Mouse and 59 Other Vertebrates
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessReview
Genes 2018, 9(9), 432;

Bioinformatics Tools and Benchmarks for Computational Docking and 3D Structure Prediction of RNA-Protein Complexes

Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, ul. Ks. Trojdena 4, PL-02-109 Warsaw, Poland
Bioinformatics Laboratory, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, PL-61-614 Poznan, Poland
These authors have contributed equally and should be considered joint first authors.
Author to whom correspondence should be addressed.
Received: 14 May 2018 / Revised: 26 July 2018 / Accepted: 21 August 2018 / Published: 25 August 2018
(This article belongs to the Special Issue Computational Analysis of RNA Structure and Function)
Full-Text   |   PDF [2383 KB, uploaded 25 August 2018]   |  


RNA-protein (RNP) interactions play essential roles in many biological processes, such as regulation of co-transcriptional and post-transcriptional gene expression, RNA splicing, transport, storage and stabilization, as well as protein synthesis. An increasing number of RNP structures would aid in a better understanding of these processes. However, due to the technical difficulties associated with experimental determination of macromolecular structures by high-resolution methods, studies on RNP recognition and complex formation present significant challenges. As an alternative, computational prediction of RNP interactions can be carried out. Structural models obtained by theoretical predictive methods are, in general, less reliable compared to models based on experimental measurements but they can be sufficiently accurate to be used as a basis for to formulating functional hypotheses. In this article, we present an overview of computational methods for 3D structure prediction of RNP complexes. We discuss currently available methods for macromolecular docking and for scoring 3D structural models of RNP complexes in particular. Additionally, we also review benchmarks that have been developed to assess the accuracy of these methods. View Full-Text
Keywords: ribonucleoprotein; RNP; macromolecular complex; computational modelling; structural bioinformatics ribonucleoprotein; RNP; macromolecular complex; computational modelling; structural bioinformatics

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Nithin, C.; Ghosh, P.; Bujnicki, J.M. Bioinformatics Tools and Benchmarks for Computational Docking and 3D Structure Prediction of RNA-Protein Complexes. Genes 2018, 9, 432.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Genes EISSN 2073-4425 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top