Knowledge of protein-binding residues (PBRs) improves our understanding of protein−protein interactions, contributes to the prediction of protein functions and facilitates protein−protein docking calculations. While many sequence-based predictors of PBRs were published, they offer modest levels of predictive performance and most of them cross-predict residues that interact with other partners. One unexplored option to improve the predictive quality is to design consensus predictors that combine results produced by multiple methods.

中文翻译：

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PROBselect：通过动态预测变量选择从蛋白质序列中准确预测蛋白质结合残基

蛋白质结合残基（PBRs）的知识提高了我们对蛋白质与蛋白质相互作用的理解，有助于蛋白质功能的预测并促进了蛋白质与蛋白质对接的计算。尽管发布了许多基于序列的PBR预测器，但它们提供的预测性能水平不高，并且大多数交叉预测与其他伙伴相互作用的残基。提高预测质量的一种未探索的选择是设计共识预测器，该预测器将多种方法产生的结果结合起来。