iProEP

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Welcome to iProEP

    Promoter is a DNA element located around the transcription start site and can regulate gene transcription. Many computational models have already been proposed to predict promoters. However, the predictive powers of these methods are limited.

    In this work, we constructed promoter prediction tools, iProEP, of five species: Homo sapiens, Drosophila melanogaster, Caenorhabditis elegans, Bacillus subtilis, and Escherichia coli. The PseKNC and PCSF features were employed to formulate promoter samples. We adopted mRMR algorithm and IFS method to find out the optimal feature subsets. SVM algorithm was used to implement classification. 10-fold cross-validated results showed that the accuracies for H. sapiens, D. melanogaster, C. elegans, B. subtilis, and E. coli were respectively 93.3%, 93.9%, 95.7%, 95.2%, and 93.1% and the areas under ROCs (AUCs) for the above five species were respectively 0.974, 0.975, 0.981, 0.988, and 0.976.