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Information Gain based Methodology to Predict the Effect of Conformational Change on the Existence of f10 Epitope on the Surface of Human H5N1 Virus Hemagglutinin Protein

by Ahmed Sharaf–eldin, Aliaa Youssif, Samar Kassim, Doaa Khalil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 2
Year of Publication: 2013
Authors: Ahmed Sharaf–eldin, Aliaa Youssif, Samar Kassim, Doaa Khalil
10.5120/11370-6637

Ahmed Sharaf–eldin, Aliaa Youssif, Samar Kassim, Doaa Khalil . Information Gain based Methodology to Predict the Effect of Conformational Change on the Existence of f10 Epitope on the Surface of Human H5N1 Virus Hemagglutinin Protein. International Journal of Computer Applications. 67, 2 ( April 2013), 34-41. DOI=10.5120/11370-6637

@article{ 10.5120/11370-6637,
author = { Ahmed Sharaf–eldin, Aliaa Youssif, Samar Kassim, Doaa Khalil },
title = { Information Gain based Methodology to Predict the Effect of Conformational Change on the Existence of f10 Epitope on the Surface of Human H5N1 Virus Hemagglutinin Protein },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 2 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number2/11370-6637/ },
doi = { 10.5120/11370-6637 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:38.846613+05:30
%A Ahmed Sharaf–eldin
%A Aliaa Youssif
%A Samar Kassim
%A Doaa Khalil
%T Information Gain based Methodology to Predict the Effect of Conformational Change on the Existence of f10 Epitope on the Surface of Human H5N1 Virus Hemagglutinin Protein
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 2
%P 34-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Bio-informatics tools are widely used to obtain results that are hard to be obtained by physical experiments alone. In this study, we predicted the 3D structure of all human H5N1 hemagglutinin proteins with estimated precision 100%. We tested the existence of the F10 antibody epitope at their surfaces. The information gain (IG) is applied to calculate the degree of association between each position mutation and the absence of F10 antibody epitope on the protein surface. We identified amino acid positions that are responsible for the protein escape from neutralization by f10 antibody.

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Index Terms

Computer Science
Information Sciences

Keywords

Antibodies H5N1 Hemagglutinin Influenza virus Mutation

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