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Predicting protein complexes via the integration of multiple biological information

机译:通过整合多种生物学信息预测蛋白质复合物

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摘要

Protein complexes are a cornerstone of many biological processes and together they form various types of molecular machinery that perform a vast array of biological functions. An increase in the amount of protein-protein interaction (PPI) data enables a number of computational methods for predicting protein complexes. There are a mass of algorithms detecting complexes only consider the PPI data. However, the PPI data from high-throughout techniques is flooded with false interactions. In fact, the insufficiency of the PPI data significantly lowers the accuracy of these methods.
机译:蛋白质复合物是许多生物学过程的基石,它们共同构成了执行多种生物学功能的各种类型的分子机器。蛋白质-蛋白质相互作用(PPI)数据量的增加使许多用于预测蛋白质复合物的计算方法成为可能。有大量检测复合物的算法仅考虑PPI数据。但是,来自高通量技术的PPI数据充满了错误的交互作用。实际上,PPI数据不足会大大降低这些方法的准确性。

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