Research Article

NFkB pathway and inhibition: an overview  

Ria  Biswas , Angshuman Bagchi
Department of Biochemistry and Biophysics University of Kalyani, Inadia
Author    Correspondence author
Computational Molecular Biology, 2016, Vol. 6, No. 1   doi: 10.5376/cmb.2016.06.0001
Received: 30 Nov., 2015    Accepted: 15 Feb., 2016    Published: 24 Feb., 2016
© 2016 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Biswas R., and Bagchi A., 2016, NFkB pathway and inhibition: an overview, Computational Molecular Biology, 6(1): 1-20

Abstract

The nuclear factor kappa B (NFkB) modulates a broad range of cellular processes. NFkB pathway is stimulated by various signaling cascades and is involved in various cross-talks in the cell. NFkB controls the pro-inflammatory response by the TNFα and IL-1 signaling pathway. Inflammation is a defense mechanism of the body but when prolonged and chronic it results in various diseases, such as cancer, neurodegeneration, ageing, obesity, etc. NFkB pathway could be regulated at various levels to control chronic inflammation. As NFkB is involved in various cross-talks within the cell, a better understanding of the inter-linked pathway using computational modeling may introduce us with potential new drug targets. E3 ligases unlike other components of the pathway provide specificity, as it binds to the substrate molecule. Drugs designed to inhibit E3 ligase will ultimately choke the proteosomal degradation pathway and inhibit the NFkB pathway. This review provides the knowledge of the detailed NFkB pathway and its molecular mechanism. Also, we focused on computational modeling using deterministic and stochastic modeling methods in NFkB signaling pathway. This review also focuses on E3 ligases structure, function and inhibition by small-molecules as well as computational drug designing methods and their significance in finding new therapeutic candidates.

Keywords
Molecular Modeling; Drug Design; Cancer, Apoptosis; Mathematical Modeling
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