Reconstructing static and dynamic models of signaling pathways using Modular Response Analysis

Files in This Item:
File Description SizeFormat 
Santra_et_al.docx591.73 kBUnknownDownload
Title: Reconstructing static and dynamic models of signaling pathways using Modular Response Analysis
Authors: Santra, TapeshRukhlenko, Oleksii S.Zhernovkov, VadimKholodenko, Boris N.
Permanent link: http://hdl.handle.net/10197/10854
Date: 1-Jun-2018
Online since: 2019-07-08T09:06:36Z
Abstract: In this review we discuss the origination and evolution of Modular Response Analysis (MRA), which is a physics-based method for reconstructing quantitative topological models of biochemical pathways. We first focus on the core theory of MRA, demonstrating how both the direction and the strength of local, causal connections between network modules can be precisely inferred from the global responses of the entire network to a sufficient number of perturbations, under certain conditions. Subsequently, we analyze statistical reformulations of MRA and show how MRA is used to build and calibrate mechanistic models of biological networks. We further discuss what sets MRA apart from other network reconstruction methods and outline future directions for MRA-based methods of network reconstruction.
Funding Details: European Commission Horizon 2020
Irish Cancer Society
Type of material: Journal Article
Publisher: Elsevier BV
Journal: Current Opinion in Systems Biology
Volume: 9
Issue: Nat Biotechnol 33 2015
Start page: 11
End page: 21
Copyright (published version): 2018 Elsevier
Keywords: Modular Response Analysis (MRA)Biochemical pathwaysNetwork modulesBiological networksNetwork reconstructionMRA constructed networks
DOI: 10.1016/j.coisb.2018.02.003
Language: en
Status of Item: Peer reviewed
Appears in Collections:Conway Institute Research Collection
SBI Research Collection
Medicine Research Collection

Show full item record

SCOPUSTM   
Citations 50

2
Last Week
0
Last month
checked on Sep 13, 2019

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.