ISSN: 2168-9652

Biochemistry & Physiology: Open Access
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  • Mini Review   
  • Biochem Physiol,
  • DOI: 10.4172/2168-9652.1000426

Identifying Protein Complexes from Dynamic Temporal Interval Protein- Protein Interaction Networks

Cohen Stefan*
Department of Pediatric Dentistry, Faculty of Dentistry, Selcuk University, California, U.S.A
*Corresponding Author : Cohen Stefan, Department of Pediatric Dentistry, Faculty of Dentistry, Selcuk University, California, U.S.A, Email: cohen.stefan@gmail.com

Received Date: Sep 01, 2023 / Published Date: Sep 29, 2023

Abstract

Protein-protein interactions are essential for the functioning of biological systems, and protein complexes play a crucial role in performing specific cellular functions. Recent advancements in high-throughput technologies have enabled the generation of dynamic temporal interval protein-protein interaction networks that capture the dynamic nature of protein interactions over time. Identifying protein complexes from TIPINs provides insights into their temporal behavior and functional dynamics. This article presents an overview of the process of identifying protein complexes from dynamic temporal interval protein-protein interaction networks. The steps involved include data integration and preprocessing, network construction, community detection, temporal analysis, and validation. The identification and analysis of protein complexes from TIPINs offer a deeper understanding of complex biological systems and their temporal regulation.

Citation: Stefan C (2023) Identifying Protein Complexes from Dynamic TemporalInterval Protein-Protein Interaction Networks. Biochem Physiol 12: 426. Doi: 10.4172/2168-9652.1000426

Copyright: © 2023 Stefan C. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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