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    • Keywords


      Connectivity; Disease gene; Protein complex; Relevance score

    • Abstract


      Protein complexes are known to play a major role in controlling cellular activity in a living being. Identifying complexesfrom raw protein–protein interactions (PPIs) is an important area of research. Earlier work has been limited mostly to yeastand a few other model organisms. Such protein complex identification methods, when applied to large human PPIs oftengive poor performance. We introduce a novel method called ComFiR to detect such protein complexes and further rankdiseased complexes based on a query disease. We have shown that it has better performance in identifying proteincomplexes from human PPI data. This method is evaluated in terms of positive predictive value, sensitivity and accuracy.We have introduced a ranking approach and showed its application on Alzheimer’s disease.

    • Author Affiliations



      1. Department of Computer Science and Engineering, Tezpur University, Tezpur, Assam 784 028, India
      2. Department of Computer Science, University of Colorado, Colorado Springs, CO, USA
    • Dates

    • Supplementary Material

  • Journal of Biosciences | News

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      Posted on July 25, 2019

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