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USING A SOFT COMPUTING TECHNIQUE TO PREDICT THE RNA SECONDARY STRUCTURE
Corresponding Author(s) : Doan Duy Binh
UED Journal of Social Sciences, Humanities and Education,
Vol. 5 No. 4B (2015): UED JOURNAL OF SOCIAL SCIENCES, HUMANITIES AND EDUCATION
Abstract
Prediction of an RNA structure plays an important role in studying cellular processes. Over the last two decades, many algorithms have been developed to predict the structure of an RNA sequence with a known nucleotide order; however, problems have still remained until now. The soft computing approach has gained attention of researchers in solving complex cases of this topic. Here we describe the basic concepts of RNA and its distinctive structural elements, as well as some of the soft computing-based techniques developed for RNA secondary structure prediction. In the paper, we present the results of our research on the use of the Ant Colony Optimization (ACO) algorithm which has been improved to predict the RNA secondary structure, then introduce approaches for further research.
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