Predicting Protein Secondary Structure Using Artificial Neural Networks: Current Status and Future Directions


	Information Technology Journal
	Year: 2005 \| Volume: 4 \| Issue: 2 \| Page No.: 189-196 DOI: 10.3923/itj.2005.189.196

Predicting Protein Secondary Structure Using Artificial Neural Networks: Current Status and Future Directions

Saad Osman Abdalla and Safaai Deris

Abstract: Novel researchers in the area of protein secondary structure prediction using artificial neural networks take a considerable time to get the most important knowledge in this area. This study was conducted to make the most foundational and directive knowledge in protein biological aspects, protein secondary structure prediction and protein neural network predictors get elucidated. Several neural network methods have contributed and influenced significantly the field of bioinformatics in general and the area of secondary structure prediction from protein sequences in specific. Present research suggest that there is a lot of work to be done to fully exploit artificial neural networks in this area.

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How to cite this article:

Saad Osman Abdalla and Safaai Deris , 2005. Predicting Protein Secondary Structure Using Artificial Neural Networks: Current Status and Future Directions. Information Technology Journal, 4: 189-196.

DOI: 10.3923/itj.2005.189.196

URL: https://scialert.net/abstract/?doi=itj.2005.189.196

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