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      https://www.ias.ac.in/article/fulltext/jbsc/040/04/0701-0708

    • Keywords

       

      Mutual information; PPI network; protein complex; topological property

    • Abstract

       

      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 well-known methods and obtained better results in terms of various parameters such as precession, recall and F-measure.

    • Author Affiliations

       

      Priyakshi Mahanta1 Dhruba K R Bhattacharyya1 Ashish Ghosh2

      1. Department of Computer Science and Engineering, Tezpur University, Napaam 784 028, India
      2. Machine Intelligent Unit, Indian Statistical Institute, Kolkata 700 108, India
    • Dates

       
  • Journal of Biosciences | News

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