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Updated: Jun 19, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
The recognition of 27-class protein folds: approached by increment of diversity based on multi-characteristic
Huaiguang Zhang1, Xiuzhen Hu, Qianzhong Li
1College of Sciences, Inner Mongolia University of Technology, Hohhot, 010051, China.
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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