aPPRove: An HMM-Based Method for Accurate Prediction of RNA-Pentatricopeptide Repeat Protein Binding Events

Abstract

<div><p>Pentatricopeptide repeat containing proteins (PPRs) bind to RNA transcripts originating from mitochondria and plastids. There are two classes of PPR proteins. The class contains tandem -type motif sequences, and the class contains alternating , and type sequences. In this paper, we describe a novel tool that predicts PPR-RNA interaction; specifically, our method, which we call aPPRove, determines where and how a -class PPR protein will bind to RNA when given a PPR and one or more RNA transcripts by using a combinatorial binding code for site specificity proposed by Barkan <i>et al.</i> Our results demonstrate that aPPRove successfully locates how and where a PPR protein belonging to the class can bind to RNA. For each binding event it outputs the binding site, the amino-acid-nucleotide interaction, and its statistical significance. Furthermore, we show that our method can be used to predict binding events for -class proteins using a known edit site and the statistical significance of aligning the PPR protein to that site. In particular, we use our method to make a conjecture regarding an interaction between CLB19 and the second intronic region of <i>ycf</i>3. The aPPRove web server can be found at <a href="http://www.cs.colostate.edu/~approve" target="_blank">www.cs.colostate.edu/~approve</a>.</p></div