Gu, Q. , Ding, Y.-S. and Zhang, T.-L. (2010) Prediction of G-protein-coupled receptor classes in low homology using Chou's pseudo amino acid composition with approximate entropy and hydrophobicity patterns. Protein and Peptide Letters, 17(5), pp. 559-567. (doi: 10.2174/092986610791112693)
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Abstract
We use approximate entropy and hydrophobicity patterns to predict G-protein-coupled receptors. Adaboost classifier is adopted as the prediction engine. A low homology dataset is used to validate the proposed method. Compared with the results reported, the successful rate is encouraging. The source code is written by Matlab.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Gu, Dr Quan |
| Authors: | Gu, Q., Ding, Y.-S., and Zhang, T.-L. |
| Subjects: | Q Science > QH Natural history > QH301 Biology |
| College/School: | College of Medical Veterinary and Life Sciences > School of Infection & Immunity College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research |
| Journal Name: | Protein and Peptide Letters |
| Publisher: | Bentham Science Publishers |
| ISSN: | 0929-8665 |
| ISSN (Online): | 1875-5305 |
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