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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Zhang, Guangya Huihua, Ge Yi, Lin |
| Description | Author Affiliation: Zhang G ( Department of Biotechnology and Bioengineering, Huaqiao University, Xiamen 361021, Fujian, PR China. zhgyghh@hqu.edu.cn) |
| Abstract | To investigate the molecular features responsible for protein halophilicity is of great significance for understanding the structure basis of protein halo-stability and would help to develop a practical strategy for designing halophilic proteins. In this work, we have systematically analyzed the dipeptide composition of the halophilic and non-halophilic protein sequences. We observed the halophilic proteins contained more DA, RA, AD, RR, AP, DD, PD, EA, VG and DV at the expense of LK, IL, II, IA, KK, IS, KA, GK, RK and AI. We identified some macromolecular signatures of halo-adaptation, and thought the dipeptide composition might contain more information than amino acid composition. Based on the dipeptide composition, we have developed a machine learning method for classifying halophilic and non-halophilic proteins for the first time. The accuracy of our method for the training dataset was 100.0%, and for the 10-fold cross-validation was 93.1%. We also discussed the influence of some specific dipeptides on prediction accuracy. |
| File Format | HTM / HTML |
| ISSN | 01418130 |
| Volume Number | 53 |
| e-ISSN | 18790003 |
| Journal | International Journal of Biological Macromolecules |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2013-02-01 |
| Publisher Place | Netherlands |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Biochemistry Bacterial Proteins Chemistry Dipeptides Algorithms Amino Acid Sequence Area Under Curve Bacteroidetes Chlorobium Computational Biology Computer Simulation Data Interpretation, Statistical Models, Chemical Neural Networks (computer) Protein Stability Roc Curve Salt-tolerance Sequence Analysis, Protein Support Vector Machines Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Structural Biology Molecular Biology Biochemistry |
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