Prediction of membrane protein types by means of wavelet analysis and cascaded neural networks
In this study, membrane proteins were classified using the information hidden in their sequences. It was achieved by applying the wavelet analysis to the sequences and consequently extracting several features, each of them revealing a proportion of the information content present in the sequence. Th...
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| Veröffentlicht in: | Journal of theoretical biology 2008-10, Vol.254 (4), p.817-820 |
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| container_title | Journal of theoretical biology |
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| creator | Rezaei, Mohammad Ali Abdolmaleki, Parviz Karami, Zahra Asadabadi, Ebrahim Barzegari Sherafat, Mohammad Amin Abrishami-Moghaddam, Hamid Fadaie, Marziyeh Forouzanfar, Mohammad |
| description | In this study, membrane proteins were classified using the information hidden in their sequences. It was achieved by applying the wavelet analysis to the sequences and consequently extracting several features, each of them revealing a proportion of the information content present in the sequence. The resultant features were made normalized and subsequently fed into a cascaded model developed in order to reduce the effect of the existing bias in the dataset, rising from the difference in size of the membrane protein classes. The results indicate an improvement in prediction accuracy of the model in comparison with similar works. The application of the presented model can be extended to other fields of structural biology due to its efficiency, simplicity and flexibility. |
| doi_str_mv | 10.1016/j.jtbi.2008.07.012 |
| format | Article |
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| ispartof | Journal of theoretical biology, 2008-10, Vol.254 (4), p.817-820 |
| issn | 0022-5193 1095-8541 |
| language | eng |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Algorithms Animals Databases, Protein Discrete wavelet transform Feature extraction Hydropathy plot Membrane Proteins - chemistry Membrane Proteins - classification Models, Chemical Neural Networks (Computer) |
| title | Prediction of membrane protein types by means of wavelet analysis and cascaded neural networks |
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