Enzyme Function Classification Based on Sequence Alignment

  • Mahi M. Sharif
  • Alaa Thrwat
  • Islam Ibrahim Amin
  • Aboul Ella
  • Hesham A. Hefeny
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 340)

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.

Keywords

Enzyme Classification Prediction Global alignment Local alignment BLOSUM30 BLOSUM 62 Enzyme commission EC 

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Copyright information

© Springer India 2015

Authors and Affiliations

  • Mahi M. Sharif
    • 1
  • Alaa Thrwat
    • 2
  • Islam Ibrahim Amin
    • 1
  • Aboul Ella
    • 3
  • Hesham A. Hefeny
    • 1
  1. 1.Institute of Statistical Studies and ResearchesCairo UniversityCairoEgypt
  2. 2.Scientific Research Group in Egypt (SRGE)Suez Canal UniversityIsmailiaEgypt
  3. 3.Faculty of Computers and Information, Scientific Research Group in Egypt (SRGE)Cairo UniversityCairoEgypt

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