Predicting peptide bond conformation using feature selection and the Naïve Bayes approach

Kostas P Exarchos1, Themis P Exarchos, Costas Papaloukas

  • 1Unit of Medical Technology and Intelligent Information Systems, Dept. of Computer Science, University of Ioannina, GR 45110, Ioannina, Greece. kexarcho@cc.uoi.gr

Summary

Predicting peptide bond conformation (cis or trans) is crucial for understanding protein structure. This study developed a method using sequence and property data, achieving 86% accuracy in distinguishing cis and trans isomers.

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