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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Enzyme Function Classification Based on Sequence Alignment
verfasst von : Mahi M. Sharif, Alaa Thrwat, Islam Ibrahim Amin, Aboul Ella, Hesham A. Hefeny
Erschienen in: Information Systems Design and Intelligent Applications
Verlag: Springer India
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Abstract
The process of enzymes classification and prediction is Inevitability process to specify the functions of whole the proteins enzymatic class, due to the protein enzymatic play vital role in our life, path-ways and determine this role of enzyme experimentally consume more time and cost. Then propose and develop the computational approach to contribute to solve this problem is the reasonable and acceptable idea. Here we propose and develop a model to classify the enzymes based on their sequence alignment to compute the pair wise alignment between any two sequences namely, local and global alignment using different score matrices, BLOSUM30 and BLOSUM62 (default score matrix), through calculate the pair wise alignment between testing sequence and each sequence in training sequences. The results we have obtained were accept-able to some extent compared to previous studies that we surveyed.