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2008•China Journal of BioinformaticsRequires access

The Recognition of β-Hairpin Motifs in the Protein:Approached by Scoring Matrix

Xiuzhen Hu

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Abstract

Based on amino acid sequences of the 3088 protein chains with identity 40% and 2878 protein chains with identity 33%,respectively,by using of the 5 kinds scoring matrix for predicting a-hairpin motif is proposed with parameter by amino acid in the self-consistency and 10-fold cross-validation.Predictive results shown(1996) algorithm is significantly better than others,the overall predicted accuracies are 77.7% and 76.1% for 3088 proteins respectively.

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Based on amino acid sequences of the 3088 protein chains with identity 40% and 2878 protein chains with identity 33%,respectively,by using of the 5 kinds scoring matrix for predicting a-hairpin motif is proposed with parameter by amino acid in the self-consistency and 10-fold cross-validation.Predictive results shown(1996) algorithm is significantly better than others,the overall predicted accuracies are 77.7% and 76.1% for 3088 proteins respectively.

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Available abstract

Based on amino acid sequences of the 3088 protein chains with identity 40% and 2878 protein chains with identity 33%,respectively,by using of the 5 kinds scoring matrix for predicting a-hairpin motif is proposed with parameter by amino acid in the self-consistency and 10-fold cross-validation.Predictive results shown(1996) algorithm is significantly better than others,the overall predicted accuracies are 77.7% and 76.1% for 3088 proteins respectively.

Key concepts: Computational biology, Motif (music), Amino acid, Matrix (chemical analysis), Identity (music), Consistency (knowledge bases), Pattern recognition (psychology), Computer science

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