標題: An expert system to predict protein thermostability using decision tree
作者: Wu, Li-Cheng
Lee, Jian-Xin
Huang, Hsien-Da
Liu, Baw-Juine
Horng, Jorng-Tzong
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
關鍵字: Expert system;Machine learning;Bioinformatics;Protein thermostability;Decision Tree
公開日期: 1-Jul-2009
摘要: Protein thermostability information is closely linked to commercial production of many biomaterials. Recent developments have shown that amino acid composition, special sequence patterns and hydrogen bonds, disulfide bonds, salt bridges and so on are of considerable importance to thermostability. In this study, we present a system to integrate these various factors that predict protein thermostability. In this study, the features of proteins in the PGTdb are analyzed. We consider both structure and sequence features and correlation coefficients are incorporated into the feature selection algorithm. Machine learning algorithms are then used to develop identification systems and performances between the different algorithms are compared. In this research, two features, (E + F + M + R)/residue and charged/non-charged, are found to be critical to the thermostability of proteins. Although the sequence and structural models achieve a higher accuracy, sequence-only models provides sufficient accuracy for sequence-only thermostability prediction. (C) 2008 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2008.12.020
http://hdl.handle.net/11536/7028
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2008.12.020
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 36
Issue: 5
起始頁: 9007
結束頁: 9014
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