School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Centre for Infectious Disease Research, University of Queensland, Brisbane, Queensland, Australia.
PLoS One. 2011;6(7):e21169. doi: 10.1371/journal.pone.0021169. Epub 2011 Jul 28.
Predikin is a system for making predictions about protein kinase specificity. It was declared the "best performer" in the protein kinase section of the Peptide Recognition Domain specificity prediction category of the recent DREAM4 challenge (an independent test using unpublished data). In this article we discuss some recent improvements to the Predikin web server--including a more streamlined approach to substrate-to-kinase predictions and whole-proteome predictions--and give an analysis of Predikin's performance in the DREAM4 challenge. We also evaluate these improvements using a data set of yeast kinases that have been experimentally characterised, and we discuss the usefulness of Frobenius distance in assessing the predictive power of position weight matrices.
Predikin 是一个用于预测蛋白激酶特异性的系统。在最近的 DREAM4 挑战赛（使用未公开数据的独立测试）的肽识别域特异性预测类别中的蛋白激酶部分，它被宣布为“最佳表现者”。在本文中，我们讨论了 Predikin 网络服务器的一些最新改进，包括更精简的底物到激酶预测和全蛋白质组预测方法，并对 Predikin 在 DREAM4 挑战赛中的表现进行了分析。我们还使用了一组经过实验表征的酵母激酶数据集来评估这些改进，并且讨论了 Frobenius 距离在评估位置权重矩阵的预测能力方面的有用性。
