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Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method

机译:球直方图方法预测蛋白质的DNA结合倾向

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We contribute a novel, ball-histogram approach to DNA-binding propensity prediction of proteins. Unlike state-of-the-art methods based on constructing an ad-hoc set of features describing the charged patches of the proteins, the ball-histogram technique enables a systematic, Monte-Carlo exploration of the spatial distribution of charged amino acids, capturing joint probabilities of specified amino acids occurring in certain distances from each other. This exploration yields a model for the prediction of DNA binding propensity. We validate our method in prediction experiments, achieving favorable accuracies. Moreover, our method also provides interpretable features involving spatial distributions of selected amino acids.
机译:我们为蛋白质的DNA结合倾向预测提供了一种新颖的球形直方图方法。与基于构建描述蛋白质带电斑块的特有特征的最新方法不同,球形直方图技术可以对带电荷氨基酸的空间分布进行系统的蒙特卡洛探索,从而捕获特定氨基酸彼此之间有一定距离的联合概率。该探索产生了用于预测DNA结合倾向的模型。我们在预测实验中验证了我们的方法,获得了良好的准确性。此外,我们的方法还提供了涉及选定氨基酸空间分布的可解释特征。

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