Abstract
Based on the primary sequence, by selecting the pseudo amino acid composition, position weight matrix score, the predicted secondary structure and the second neighbor dipeptide composition as characteristic parameters, an approach of diversity increment for predicting 27-class protein folds is proposed. Overall recognition accuracy reaches 61.10% in the independent testing.
Keywords: Increment of diversity, pseudo amino acid composition, position weight matrix, protein fold
Protein & Peptide Letters
Title: The Recognition of 27-Class Protein Folds: Approached by Increment of Diversity Based on Multi-Characteristic Parameters
Volume: 16 Issue: 9
Author(s): Huaiguang Zhang, Xiuzhen Hu and Qianzhong Li
Affiliation:
Keywords: Increment of diversity, pseudo amino acid composition, position weight matrix, protein fold
Abstract: Based on the primary sequence, by selecting the pseudo amino acid composition, position weight matrix score, the predicted secondary structure and the second neighbor dipeptide composition as characteristic parameters, an approach of diversity increment for predicting 27-class protein folds is proposed. Overall recognition accuracy reaches 61.10% in the independent testing.
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Cite this article as:
Zhang Huaiguang, Hu Xiuzhen and Li Qianzhong, The Recognition of 27-Class Protein Folds: Approached by Increment of Diversity Based on Multi-Characteristic Parameters, Protein & Peptide Letters 2009; 16 (9) . https://dx.doi.org/10.2174/092986609789055278
DOI https://dx.doi.org/10.2174/092986609789055278 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |
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