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

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Title: Reconstructing static and dynamic models of signaling pathways using Modular Response Analysis
Authors: Santra, TapeshRukhlenko, Oleksii S.Zhernovkov, VadimKholodenko, Boris N.
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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

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