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Reseach Article

Modelinig and Simulation of Amino Acide

by Basil Younis Thanoon, Fatima Mahmood Hasan Zamzwm
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 13
Year of Publication: 2016
Authors: Basil Younis Thanoon, Fatima Mahmood Hasan Zamzwm
10.5120/ijca2016909740

Basil Younis Thanoon, Fatima Mahmood Hasan Zamzwm . Modelinig and Simulation of Amino Acide. International Journal of Computer Applications. 141, 13 ( May 2016), 23-38. DOI=10.5120/ijca2016909740

@article{ 10.5120/ijca2016909740,
author = { Basil Younis Thanoon, Fatima Mahmood Hasan Zamzwm },
title = { Modelinig and Simulation of Amino Acide },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 13 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 23-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number13/24845-2016909740/ },
doi = { 10.5120/ijca2016909740 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:27.681354+05:30
%A Basil Younis Thanoon
%A Fatima Mahmood Hasan Zamzwm
%T Modelinig and Simulation of Amino Acide
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 13
%P 23-38
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The study of amino acids was one of the important issues in bioinformatics, and the prediction of the secondary structure of proteins was one of the important steps in the knowledge of the structure and function of the protein. In this research, an algorithm to generate amino acids is suggested using simulation. A software program is build using MATLAB according to the proposed algorithm for the purpose of conducting simulation experiments. Fourteen simulation experiments were performed to generate sequences of different sizes of amino acids of fourteen protein, some of them is private of mitochondria diseases and some other were taken from other types of proteins. Comparisons are performed between the data generated by the proposed algorithm with real data available in international global centers in genetic engineering databases. Percentages of successfulness of similarities and identity between successive cases with those generated by the simulation program were calculated. The practical application of the proposed algorithm indicated that this algorithm gives encouraging results than the similarities proportion between generated data with real data are sometimes exceeds 90%.

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Index Terms

Computer Science
Information Sciences

Keywords

modeling simulation bioinformatics amino acids prediction secondary structure of proteins.