Harrison, Thomas, authorBoucher, Christina, advisorBen-Hur, Asa, committee memberSloan, Daniel, committee member2015-08-272015-08-272015http://hdl.handle.net/10217/167003Pentatricopeptide repeat containing proteins (PPRs) bind to RNA transcripts originating from mitochondria and plastids. There are two classes of PPR proteins. The P class contains tandem P-type motif sequences, and the PLS class contains alternating P, L and S type motif 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 PLS-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 et al. [1]. Our results demonstrate that aPPRove successfully locates how and where a PPR protein belonging to the PLS 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 PLS-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 a novel binding event between CLB19 and the second intronic region of ycf3. The aPPRove web server can be found at www.cs.colostate.edu/~aPPRove and the soft- ware is available at that website for stand alone usage.born digitalmasters thesesengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.PPRHMMaPPRove: an HMM-based method for accurate prediction of RNA-pentatricopeptide repeat protein binding eventsText