Facilitating RNA Structure Prediction with Microarrays†
نویسندگان
چکیده
منابع مشابه
Computational RNA Structure Prediction
The view of RNA as simple information transfer molecule has been continuously challenged since the discovery of ribozymes, a class of RNA molecules with enzyme-like function. Moreover, the recent discovery of tiny RNA molecules such as RNAs and small interfering RNA, is transforming our thinking about how gene expression is regulated. Thus, RNA molecules are now known to carry a large repertory...
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Understanding secondary structures of RNAs helps to determine their chemical and biological properties. Only a small number of RNA structures have been determined currently since such structure determination experiments are timeconsuming and expensive. As a result, scientists start to rely on RNA secondary structure prediction. Unlike protein structure prediction, predicting RNA secondary struc...
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Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structural roles in cells. Current biophysical methods to identify the presence of pseudoknots are extremely time consuming and expensive. Therefore, bioinformatics approaches to accurately predict such structures are highly d...
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The prediction of RNA structure is useful for understanding evolution for both in silico and in vitro studies. Physical methods like NMR studies to predict RNA secondary structure are expensive and difficult. Computational RNA secondary structure prediction is easier. Comparative sequence analysis provides the best solution. But secondary structure prediction of a single RNA sequence is challen...
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ژورنال
عنوان ژورنال: Biochemistry
سال: 2006
ISSN: 0006-2960,1520-4995
DOI: 10.1021/bi051409+