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A Comparative Study of the Protein Secondary Structure Prediction methods
| International Conference on Advances in Computer Engineering and Applications |
| Foundation of Computer Science USA |
| ICACEA - Number 4 |
| March 2014 |
| Authors: Shivani Agarwal, Arushi Baboota, Atul Kumar |
| ab8e1b39-09c3-4cf8-bbc1-f229594318b5 |
Shivani Agarwal, Arushi Baboota, Atul Kumar . A Comparative Study of the Protein Secondary Structure Prediction methods. International Conference on Advances in Computer Engineering and Applications. ICACEA, 4 (March 2014), 21-24.
Abstract
Computationally biology is the innovative research for better drug designing. A number of classifiers and techniques are used for prediction of secondary structure prediction of proteins. The basic aim of this paper shows the comparative study by using these three models: - Artificial Neural Network, Fuzzy Logic, and Hidden Markov Model and to acquire the optimum end result.
References
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