Structural class tendency of polypeptide: A new conception in predicting protein structural class

Tao Yu, Zhi-Bo Sun, Jian-Ping Sang, Sheng-You Huang and Xian-Wu Zou

Physica A: Statistical Mechanics and its Applications, 2007, vol. 386, issue 1, 581-589

Abstract: Prediction of protein domain structural classes is an important topic in protein science. In this paper, we proposed a new conception: structural class tendency of polypeptides (SCTP), which is based on the fact that a given amino acid fragment tends to be presented in certain type of proteins. The SCTP is obtained from an available training data set PDB40-B. When using the SCTP to predict protein structural classes by Intimate Sorting predictive method, we got the predictive accuracy (jackknife test) with 93.7%, 96.5%, and 78.6% for the testing data set PDB40-j, Chou&Maggiora and CHOU. These results indicate that the SCTP approach is quite encouraging and promising. This new conception provides an effective tool to extract valuable information from protein sequences.

Keywords: Polypeptides; Structural class tendency; Protein; Structural classes (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:386:y:2007:i:1:p:581-589

DOI: 10.1016/j.physa.2007.07.061

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