A vector projection method for predicting supersecondary motifs.

Z R Sun; C T Zhang; F H Wu; L W Peng

doi:10.1007/bf01887145

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A vector projection method for predicting supersecondary motifs.

Z R Sun·C T Zhang·F H Wu·L W Peng

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Abstract

For the 11 types of most frequently occurring supersecondary motifs, we used a new method--the vector projection method--to predict a protein's supersecondary structure. In a training set of peptides and a test set of peptides we obtained a satisfactory result, with a prediction accuracy of about 90%. The high prediction accuracy indicates that this method is reasonable for predicting the folding motifs of proteins. This work provides insight into the problem of predicting a protein's local structure accurately, and is of particular value in protein modeling, prediction, and molecule design.

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Amino Acids Databases, Factual Models, Molecular Peptides Probability Protein Conformation Protein Folding Protein Structure, Secondary Software Journal Article

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Z R Sun, C T Zhang, F H Wu, L W Peng. 1996. A vector projection method for predicting supersecondary motifs.. https://doi.org/10.1007/bf01887145

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