Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts
Knowledge of supersecondary structures can provide important information about its spatial structure of protein. Some approaches have been developed for the prediction of protein supersecondary structure. However, the feature used by these approaches is primarily based on amino acid sequences. In th...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/978503 |
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| _version_ | 1832551867605843968 |
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| author | Feng Yonge |
| author_facet | Feng Yonge |
| author_sort | Feng Yonge |
| collection | DOAJ |
| description | Knowledge of supersecondary structures can provide important information about its spatial structure of protein. Some approaches have been developed for the prediction of protein supersecondary structure. However, the feature used by these approaches is primarily based on amino acid sequences. In this study, a novel model is presented to predict protein supersecondary structure by use of chemical shifts (CSs) information derived from nuclear magnetic resonance (NMR) spectroscopy. Using these CSs as inputs of the method of quadratic discriminant analysis (QD), we achieve the overall prediction accuracy of 77.3%, which is competitive with the same method for predicting supersecondary structures from amino acid compositions in threefold cross-validation. Moreover, our finding suggests that the combined use of different chemical shifts will influence the accuracy of prediction. |
| format | Article |
| id | doaj-art-2c11b62daaa24082970ca6906642efe7 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-2c11b62daaa24082970ca6906642efe72025-02-03T06:00:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/978503978503Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical ShiftsFeng Yonge0College of Science, Inner Mongolia Agriculture University, Hohhot 010018, ChinaKnowledge of supersecondary structures can provide important information about its spatial structure of protein. Some approaches have been developed for the prediction of protein supersecondary structure. However, the feature used by these approaches is primarily based on amino acid sequences. In this study, a novel model is presented to predict protein supersecondary structure by use of chemical shifts (CSs) information derived from nuclear magnetic resonance (NMR) spectroscopy. Using these CSs as inputs of the method of quadratic discriminant analysis (QD), we achieve the overall prediction accuracy of 77.3%, which is competitive with the same method for predicting supersecondary structures from amino acid compositions in threefold cross-validation. Moreover, our finding suggests that the combined use of different chemical shifts will influence the accuracy of prediction.http://dx.doi.org/10.1155/2014/978503 |
| spellingShingle | Feng Yonge Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts The Scientific World Journal |
| title | Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts |
| title_full | Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts |
| title_fullStr | Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts |
| title_full_unstemmed | Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts |
| title_short | Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts |
| title_sort | prediction of four kinds of simple supersecondary structures in protein by using chemical shifts |
| url | http://dx.doi.org/10.1155/2014/978503 |
| work_keys_str_mv | AT fengyonge predictionoffourkindsofsimplesupersecondarystructuresinproteinbyusingchemicalshifts |