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Title

PRD: A protein–RNA interaction database

 

Authors

Shigeo Fujimori1, Katsuya Hino2, Ayumu Saito3, Satoru Miyano3 & Etsuko Miyamoto-Sato1, 2, 3*

 

Affiliation

1Division of Interactome Medical Sciences, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai Minato-ku, Tokyo 108-8639, Japan; 2Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan; 3Human Genome Center, Institute of Medical Sciences, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.

 

Email

nekoneko@ims.u-tokyo.ac.jp; *Corresponding author

 

Article Type

Database

 

Date

Received July 13, 2012; Accepted July 28, 2012; Published August 03, 2012

Abstract

Although protein–RNA interactions (PRIs) are involved in various important cellular processes, compiled data on PRIs are still limited. This contrasts with protein–protein interactions, which have been intensively recorded in public databases and subjected to network level analysis. Here, we introduce PRD, an online database of PRIs, dispersed across several sources, including scientific literature. Currently, over 10,000 interactions have been stored in PRD using PSI-MI 2.5, which is a standard model for describing detailed molecular interactions, with an emphasis on gene level data. Users can browse all recorded interactions and execute flexible keyword searches against the database via a web interface. Our database is not only a reference of PRIs, but will also be a valuable resource for studying characteristics of PRI networks.

 

Avilability

http://pri.hgc.jp/

 

Keywords

protein-RNA interaction, Biomolecular interaction, RNA binding protein, Database

 

Citation

Fujimori et al. Bioinformation 8(15): 729-730 (2012)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.