Title : ( Protein’s Number of Beta-Sheets Prediction using Structural Features )
Authors: Amir Hossein Babolhakami , Behshid Behkamal , toktam dehghani , Kobra Etminani , Mahmoud Naghibzadeh ,
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Abstract
A protein is a long one-dimensional amino acid sequence. Some subsequences of this sequence are given names and ȕ -strand in one such subsequence. β β -strands are very common and two or more such strands within one protein can form a β-sheet in the secondary structure of proteins. In its natural form, a protein is a three-dimensional entity composed of β-sheets, α-helices, and other types of substructures. Knowing the exact three-dimensional structure of a protein is the key to diagnosing several diseases and producing some drugs. In many proteins, β-sheets are the most common and the dominating substructure. Predicting the number of β-sheets in a given protein sequence is a valuable step in predicting the whole β-sheets structure in the sense that it can reduce the time complexity of the exhaustive search space examination predictors. In this research, a data- mining method for predicting the number of β-sheets is developed. The evaluations show that its performance is highly reliable
Keywords
, β-Sheets structure; Prediction, Feature analysis;
@inproceedings{paperid:1066077,
author = {Babolhakami, Amir Hossein and Behkamal, Behshid and Dehghani, Toktam and Kobra Etminani and Naghibzadeh, Mahmoud},
title = {Protein’s Number of Beta-Sheets Prediction using Structural Features},
booktitle = {7th International Conference on Computer and Knowledge Engineering (ICCKE 2017)},
year = {2017},
location = {Mashhad, IRAN},
keywords = {β-Sheets structure; Prediction; Feature analysis;},
}
%0 Conference Proceedings
%T Protein’s Number of Beta-Sheets Prediction using Structural Features
%A Babolhakami, Amir Hossein
%A Behkamal, Behshid
%A Dehghani, Toktam
%A Kobra Etminani
%A Naghibzadeh, Mahmoud
%J 7th International Conference on Computer and Knowledge Engineering (ICCKE 2017)
%D 2017
