Ray, Shubhra Sankar ; Bachhar, Munia ; Pal, Sankar K. (2010) RNA secondary structure prediction in soft computing framework: a review Proceedings of the 3rd IEEE International Conference on Computer Science and Information Technology, Chengdu, China, 5 . pp. 430-435.
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Official URL: http://www.meeting.edu.cn/meeting/UploadPapers/128...
Related URL: http://dx.doi.org/10.1109/ICCSIT.2010.5564069
Abstract
This article provides an overview of the application of certain soft computing tools namely, genetic algorithms (GAs), simulated annealing (SA), and artificial neural networks (ANNs) in certain tasks of RNA secondary structure prediction. Different tasks like prediction of helix, bulge, hairpin curve, internal loop, and multiloop are, first of all, described along with their basic features. The relevance of using soft computing tools to these problems is then mentioned. These are followed by different approaches along with their merits for addressing some of the aforesaid tasks. Finally some limitations of the current research activity are provided.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Proceedings of the 3rd IEEE International Conference on Computer Science and Information Technology, Chengdu, China. |
| Keywords: | RNA; Combinatorial Optimization; Dynamic Programming; Soft Computing; Genetic Algorithms; Simulated Annealing; Neural Networks |
| ID Code: | 77740 |
| Deposited On: | 14 Jan 2012 12:10 |
| Last Modified: | 14 Jan 2012 12:10 |
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