The Recognition of 27-Class Protein Folds: Approached by Increment of Diversity Based on Multi-Characteristic Parameters

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.

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