FMFinder: A Functional Module Detector for PPI Networks


  • M. Modi Computer Engineering Department, Marwadi Education Foundation, Rajkot, Gujarat
  • N. G. Jadeja Information Technology Department, Marwadi Education Foundation, Rajkot, Gujarat
  • K. Zala Marwadi Education Foundation, Rajkot, Gujarat
Volume: 7 | Issue: 5 | Pages: 2022-2025 | October 2017 |


Bioinformatics is an integrated area of data mining, statistics and computational biology. Protein-Protein Interaction (PPI) network is the most important biological process in living beings. In this network a protein module interacts with another module and so on, forming a large network of proteins. The same set of proteins which takes part in the organic courses of biological actions is detected through the Function Module Detection method. Clustering process when applied in PPI networks is made of proteins which are part of a larger communication network. As a result of this, we can define the limits for module detection as well as clarify the construction of a PPI network. For understating the bio-mechanism of various living beings, a detailed study of FMFinder detection by clustering process is called for.


functional modules, protein, PPI network, detection methods, inferring PPI network


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How to Cite

M. Modi, N. G. Jadeja, and K. Zala, “FMFinder: A Functional Module Detector for PPI Networks”, Eng. Technol. Appl. Sci. Res., vol. 7, no. 5, pp. 2022–2025, Oct. 2017.


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