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Prediction of protein structural class from the amino acid sequence

✍ Scribed by Petr Klein; Charles Delisi

Publisher
Wiley (John Wiley & Sons)
Year
1986
Tongue
English
Weight
781 KB
Volume
25
Category
Article
ISSN
0006-3525

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✦ Synopsis

The multidimensional statistical technique of discriminant analysis is used to allocate amino acid sequences to one of four secondary structural classes: high a content, high / 3 content, mixed a and @, low content of ordered structure. Discrimination is based on four attributes: estimates of percentages of a and / 3 structures, and regular variations in the hydrophobic values of residues along the sequence, occumng with periods of 2 and 3.6 residues. The reliability of the method, estimated by classifying 138 sequences from the Brookhaven Protein Data Bank, is 80%, with no misallocations between a-rich and P-rich classes. The reliability can be increased to 844% by making no allocation for proteins classified with odds close to 1. Classification using previously developed secondary structural prediction methods is considerably less reliable, the best result being 64% obtained using predictions based on the Delphi method.

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