RNA plays many important roles in cellular function. In the Central Dogma of Biology, RNA serves as a transient carrier of genetic information and as the adapter molecule that reads the code. RNA catalyzes reactions and serves in post-transcriptional gene regulation, development, and immunity. RNA also plays roles in human disease, including Praeder-Willi and myotonic dystrophy. Understanding and harnessing the power of RNA, e.g. with RNAi, antisense technology, or with therapeutic ribozymes, requires an understanding of the structures of these RNA sequences. The goals of this proposal are to (1) Automate comparative sequence analysis of RNA to determine RNA secondary structure using pairwise structure predictions from Dynalign, our algorithm that finds the secondary structure common to two sequences. Comparative sequence analysis is the gold standard for determining RNA secondary structure in the absence of a crystal structure, but is currently labor intensive and dependent on the skill of the scientist doing the comparison. With the discovery of new classes of non-coding RNA (ncRNA) sequences that function without coding message, there is a significant need for new tools to automate the determination of secondary structure. (2) Further develop our method using Dynalign for ncRNA discovery by writing a new software package called Dynafind. Our method for ncRNA discovery takes crudely aligned sequence as input and identifies putative ncRNAs on the basis of the folding free energy change of the common structure in the alignment. (3) Scan the human and yeast genomes for novel ncRNA genes using Dynafind. We will collaborate with our co-investigators, Dr. Eric Phizicky and Dr. Todd Lowe, to test the function of putative ncRNAs that we identify. This work has broad implications for human health. Improved tools for predicting RNA structure will help in the discovery of therapeutics that are either RNA or target RNA. The discovery of novel ncRNA in the human genome will contribute to our understanding of development and cellular physiology.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project (R01)
Project #
5R01HG004002-05
Application #
8131933
Study Section
Special Emphasis Panel (ZRG1-MSFD-N (01))
Program Officer
Feingold, Elise A
Project Start
2007-09-25
Project End
2012-11-30
Budget Start
2011-09-01
Budget End
2012-11-30
Support Year
5
Fiscal Year
2011
Total Cost
$325,867
Indirect Cost
Name
University of Rochester
Department
Biochemistry
Type
Schools of Dentistry
DUNS #
041294109
City
Rochester
State
NY
Country
United States
Zip Code
14627
Spasic, Aleksandar; Serafini, John; Mathews, David H (2012) The Amber ff99 Force Field Predicts Relative Free Energy Changes for RNA Helix Formation. J Chem Theory Comput 8:2497-2505
Seetin, Matthew G; Mathews, David H (2012) TurboKnot: rapid prediction of conserved RNA secondary structures including pseudoknots. Bioinformatics 28:792-8
Xu, Zhenjiang; Almudevar, Anthony; Mathews, David H (2012) Statistical evaluation of improvement in RNA secondary structure prediction. Nucleic Acids Res 40:e26
Schmidt, Karyn; Xu, Zhenjiang; Mathews, David H et al. (2012) Air proteins control differential TRAMP substrate specificity for nuclear RNA surveillance. RNA 18:1934-45
Seetin, Matthew G; Mathews, David H (2011) Automated RNA tertiary structure prediction from secondary structure and low-resolution restraints. J Comput Chem 32:2232-44
Vockenhuber, Michael-Paul; Sharma, Cynthia M; Statt, Michaela G et al. (2011) Deep sequencing-based identification of small non-coding RNAs in Streptomyces coelicolor. RNA Biol 8:468-77
Noble, Erin; Mathews, David H; Chen, Jonathan L et al. (2011) Biophysical analysis of influenza A virus RNA promoter at physiological temperatures. J Biol Chem 286:22965-70
Harmanci, Arif O; Sharma, Gaurav; Mathews, David H (2011) TurboFold: iterative probabilistic estimation of secondary structures for multiple RNA sequences. BMC Bioinformatics 12:108
Xu, Zhenjiang; Mathews, David H (2011) Multilign: an algorithm to predict secondary structures conserved in multiple RNA sequences. Bioinformatics 27:626-32
Van Nostrand, Keith P; Kennedy, Scott D; Turner, Douglas H et al. (2011) Molecular Mechanics Investigation of an Adenine-Adenine Non-Canonical Pair Conformational Change. J Chem Theory Comput 7:3779-3792

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