Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Review on Computational Methods for Protein Complex Detection


Affiliations
1 Department of Computer Science, Bharathiar University, Coimbatore-641046, India
     

   Subscribe/Renew Journal


In cell biology, the protein complex plays a vital role. The initial step for understanding the protein function is the identification of protein complexes. Protein complex is a form of quaternary structure. It is similar to phosphorylation, and the   complex pattern frequently serve to trigger or reduce one or more of the connected proteins. The protein complexes are predicted from high through-put Protein-Protein Interaction (PPI) dataset. From PPI data, there are three sections of complexes such as Sparse complexes, embedded complexes and Small complexes remains challenging in nature. This paper discussed about the numerous computational methods to solve protein complex detection, tools, protein-protein interaction databases and various performance measures to assess the accuracy of the predicted result.


Keywords

Protein-Protein Interaction, Protein Complex Detection, Protein Complex Algorithm Methods, Tools, Databases.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 264

PDF Views: 4




  • A Review on Computational Methods for Protein Complex Detection

Abstract Views: 264  |  PDF Views: 4

Authors

D. Ramyachitra
Department of Computer Science, Bharathiar University, Coimbatore-641046, India
A. Brindhadevi
Department of Computer Science, Bharathiar University, Coimbatore-641046, India
R. Ranjani Rani
Department of Computer Science, Bharathiar University, Coimbatore-641046, India

Abstract


In cell biology, the protein complex plays a vital role. The initial step for understanding the protein function is the identification of protein complexes. Protein complex is a form of quaternary structure. It is similar to phosphorylation, and the   complex pattern frequently serve to trigger or reduce one or more of the connected proteins. The protein complexes are predicted from high through-put Protein-Protein Interaction (PPI) dataset. From PPI data, there are three sections of complexes such as Sparse complexes, embedded complexes and Small complexes remains challenging in nature. This paper discussed about the numerous computational methods to solve protein complex detection, tools, protein-protein interaction databases and various performance measures to assess the accuracy of the predicted result.


Keywords


Protein-Protein Interaction, Protein Complex Detection, Protein Complex Algorithm Methods, Tools, Databases.