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Prediction of β-turns in proteins by 1-4 and 2-3 correlation model

✍ Scribed by Chun-Ting Zhang; Kou-Chen Chou

Publisher
Wiley (John Wiley & Sons)
Year
1997
Tongue
English
Weight
153 KB
Volume
41
Category
Article
ISSN
0006-3525

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✦ Synopsis

A 1-4 and 2-3 residue-correlation model is proposed to predict the b-turns in proteins. The average rate of correct prediction for the 455 b-turn tetrapeptides and 4018 non-b-turn tetrapeptides in the training data base is 80.1%, and that for the 223 b-turn tetrapeptides and 12562 non-b-turn tetrapeptides in the testing data base is 80.9%. Compared with the rates of correct prediction based on the residue-independent model reported previously, the quality of prediction is significantly improved by the new model, implying that the correlation effect between the 1st and the 4th residues and that between the 2nd and 3rd residues along a tetrapeptide are important for forming a b-turn in a protein during the process of its folding.

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