Protein structure recognition by means of sequential pattern mining

被引：0
|
作者：
Ntagiou, Anna N. [1 ]
Tsipouras, Markos G. [1 ]
Giannakeas, Nikolaos [2 ]
Tzallas, Alexandros T. [2 ]
机构：
[1] Univ Western Macedonia, Dept Informat & Telecommun Engn, GR-50100 Kozani, Greece
[2] Informat Technol Inst, Ctr Res & Technol Hellas, Thessaloniki, Greece
来源：
2017 IEEE 17TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE) | 2017年
关键词：
sequential pattern mining; protein structure prediction; sequence classification;
D O I：
10.1109/BIBE.2017.00063
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this work, an innovative classification algorithmic technique through sequential pattern mining was developed to predict the secondary structure of proteins. A basic algorithm was selected for the extraction of the sequential patterns and another algorithm was developed which employs these patterns for protein structure prediction. In the matter of predicting protein structures and scoring sequential patterns, several methodologies has been implemented that theoretically and experimentally overcome the disadvantages of existing algorithms.
引用
收藏
页码：334 / 339
页数：6
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