Mahanta Priyakshi, Bhattacharyya Dhruba Kr, Ghosh Ashish
Department of Computer Science and Engineering, Tezpur University, Napaam 784 028, India.
J Biosci. 2015 Oct;40(4):701-8. doi: 10.1007/s12038-015-9553-1.
Protein-protein interaction (PPI) networks are believed to be important sources of information related to biological processes and complex metabolic functions of the cell. Identifying protein complexes is of great importance for understanding cellular organization and functions of organisms. In this work, a method is proposed, referred to as MIPCE, to find protein complexes in a PPI network based on mutual information.MIPCE has been biologically validated by GO-based score and satisfactory results have been obtained. We have also compared our method with some wellknown methods and obtained better results in terms of various parameters such as precession, recall and F-measure.
蛋白质-蛋白质相互作用（PPI）网络被认为是与细胞的生物过程和复杂代谢功能相关的重要信息来源。识别蛋白质复合物对于理解生物体的细胞组织和功能至关重要。在这项工作中，提出了一种称为MIPCE的方法，用于基于互信息在PPI网络中寻找蛋白质复合物。MIPCE已通过基于基因本体（GO）的评分进行了生物学验证，并取得了令人满意的结果。我们还将我们的方法与一些知名方法进行了比较，并在诸如精确率、召回率和F值等各种参数方面取得了更好的结果。
