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https://hdl.handle.net/2440/84362
Type: | Journal article |
Title: | Investigating protein features contribute to salt stability of halolysin proteins |
Author: | Ebrahimie, E. Ebrahimi, M. Sarvestani, N. |
Citation: | Journal of Cell and Molecular Research, 2010; 2(1):15-28 |
Publisher: | Ferdowsi University of Mashhad |
Issue Date: | 2010 |
ISSN: | 2008-9147 |
Statement of Responsibility: | Esmaeil Ebrahimie, Mansour Ebrahimi and Narjes Rahpayma |
Abstract: | The study used various screening techniques, clustering, decision tree and generalized rule induction (association) (GRI) models and molecular phylogenic relationship to search for patterns of halophilicy and to find features contribute to halolysin salt stability. We found that Met was the sole N-terminal amino acid in halolysin proteins, whereas other amino acids found at that position of other proteases and termitase. Eightythree protein features were shown to be important in feature selection modeling, and just one peer group with an anomaly index of 2.42 declined to 1.87 after being run using only important selected features. The depth of the trees generated by various decision tree models varied from 1 to 5 branches. Compared to datasets without feature selection the number of peer groups in clustering models was reduced significantly (p<0.05). In most decision tree models, the frequency of Gly - Gly was the most important feature for decision tree rule sets and this feature was used in antecedent to support the rules in most GRI association rules. Significant differences (p < 0.001) found in charged amino acids between halolysin and other proteins with more Asp and Glu in halolysin proteins, while more hydrophobic residues and aliphatic amino acids were found in other proteases. |
Keywords: | bioinformatics modeling protein halophilic halolysin |
Rights: | Copyright status unknown |
Published version: | http://jm.um.ac.ir/index.php/biology/article/view/3144 |
Appears in Collections: | Animal and Veterinary Sciences publications Aurora harvest |
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