Fourier-based classification of protein secondary structures
The correct prediction of protein secondary structures is one of the key issues in predicting the correct protein folded shape, which is used for determining gene function. Existing methods make use of amino acids properties as indices to classify protein secondary structures, but are faced with a s...
Saved in:
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/82620 http://hdl.handle.net/10220/42344 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-82620 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-826202023-03-04T17:13:27Z Fourier-based classification of protein secondary structures Shu, Jian-Jun Yong, Kian Yan School of Mechanical and Aerospace Engineering Classification Protein secondary structures The correct prediction of protein secondary structures is one of the key issues in predicting the correct protein folded shape, which is used for determining gene function. Existing methods make use of amino acids properties as indices to classify protein secondary structures, but are faced with a significant number of misclassifications. The paper presents a technique for the classification of protein secondary structures based on protein “signal-plotting” and the use of the Fourier technique for digital signal processing. New indices are proposed to classify protein secondary structures by analyzing hydrophobicity profiles. The approach is simple and straightforward. Results show that the more types of protein secondary structures can be classified by means of these newly-proposed indices. Accepted version 2017-05-05T02:59:19Z 2019-12-06T14:59:06Z 2017-05-05T02:59:19Z 2019-12-06T14:59:06Z 2017 2017 Journal Article Shu, J. -J., & Yong, K. Y. (2017). Fourier-based classification of protein secondary structures. Biochemical and Biophysical Research Communications, 485(4), 731-735. 0006-291X https://hdl.handle.net/10356/82620 http://hdl.handle.net/10220/42344 10.1016/j.bbrc.2017.02.117 196089 en Biochemical and Biophysical Research Communications © 2017 Elsevier Inc. This is the author created version of a work that has been peer reviewed and accepted for publication by Biochemical and Biophysical Research Communications, Elsevier Inc. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.bbrc.2017.02.117]. 9 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
Classification Protein secondary structures |
| spellingShingle |
Classification Protein secondary structures Shu, Jian-Jun Yong, Kian Yan Fourier-based classification of protein secondary structures |
| description |
The correct prediction of protein secondary structures is one of the key issues in predicting the correct protein folded shape, which is used for determining gene function. Existing methods make use of amino acids properties as indices to classify protein secondary structures, but are faced with a significant number of misclassifications. The paper presents a technique for the classification of protein secondary structures based on protein “signal-plotting” and the use of the Fourier technique for digital signal processing. New indices are proposed to classify protein secondary structures by analyzing hydrophobicity profiles. The approach is simple and straightforward. Results show that the more types of protein secondary structures can be classified by means of these newly-proposed indices. |
| author2 |
School of Mechanical and Aerospace Engineering |
| author_facet |
School of Mechanical and Aerospace Engineering Shu, Jian-Jun Yong, Kian Yan |
| format |
Article |
| author |
Shu, Jian-Jun Yong, Kian Yan |
| author_sort |
Shu, Jian-Jun |
| title |
Fourier-based classification of protein secondary structures |
| title_short |
Fourier-based classification of protein secondary structures |
| title_full |
Fourier-based classification of protein secondary structures |
| title_fullStr |
Fourier-based classification of protein secondary structures |
| title_full_unstemmed |
Fourier-based classification of protein secondary structures |
| title_sort |
fourier-based classification of protein secondary structures |
| publishDate |
2017 |
| url |
https://hdl.handle.net/10356/82620 http://hdl.handle.net/10220/42344 |
| _version_ |
1759858203812691968 |