Clustering Approaches for the Functional Module Detection from PPI Network: A Review
| Author(s) | : | Manali R. Modi, Merry K.P |
| Institution | : | Department of Computer Engineering, Marwadi Education Foundation’s Group of Institutions Rajkot, Gujarat |
| Published In | : | Vol. 2, Issue 3 — March 2015 |
| Page No. | : | 292-298 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Proteins are the building bit of the living creatures and it assumes transcendent part to fulfill naturalprocedures of the life forms. Protein Protein Interaction (PPI) network is a sort of system that delineates the fundamentalpart in organic exercises. PPI is the corner stone of all the biological processes occurring in the organisms. In PPInetwork, protein interacts with one another to incorporate large molecules. Functional module detection refers to the setof proteins which partake in the same organic courses of biological action. Clustering in the PPI system settingassembles proteins which impart a bigger number of communications. The consequences of clustering can clarify theconstruction of the PPI arrangement and prescribe possible limits for detecting modules which were at one timeuncharacterized. To understand the biological mechanism of the organisms, study of the functional module detection byclustering is required.
Manali R. Modi, Merry K.P, “Clustering Approaches for the Functional Module Detection from PPI Network: A Review”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 3, pp. 292-298, March 2015.
