Network Medicine in the Age of Biomedical Big Data

Sonawane, Abhijeet R. and Weiss, Scott T. and Glass, Kimberly and Sharma, Amitabh (2019) Network Medicine in the Age of Biomedical Big Data. Frontiers in Genetics, 10. ISSN 1664-8021

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Abstract

Network medicine is an emerging area of research dealing with molecular and genetic interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale biomedical data generation offers a unique opportunity to assess the effect and impact of cellular heterogeneity and environmental perturbations on the observed phenotype. Marrying the two, network medicine with biomedical data provides a framework to build meaningful models and extract impactful results at a network level. In this review, we survey existing network types and biomedical data sources. More importantly, we delve into ways in which the network medicine approach, aided by phenotype-specific biomedical data, can be gainfully applied. We provide three paradigms, mainly dealing with three major biological network archetypes: protein-protein interaction, expression-based, and gene regulatory networks. For each of these paradigms, we discuss a broad overview of philosophies under which various network methods work. We also provide a few examples in each paradigm as a test case of its successful application. Finally, we delineate several opportunities and challenges in the field of network medicine. We hope this review provides a lexicon for researchers from biological sciences and network theory to come on the same page to work on research areas that require interdisciplinary expertise. Taken together, the understanding gained from combining biomedical data with networks can be useful for characterizing disease etiologies and identifying therapeutic targets, which, in turn, will lead to better preventive medicine with translational impact on personalized healthcare.

Item Type: Article
Subjects: STM Open Library > Medical Science
Depositing User: Unnamed user with email support@stmopenlibrary.com
Date Deposited: 07 Feb 2023 10:03
Last Modified: 13 Jun 2024 08:59
URI: http://ebooks.netkumar1.in/id/eprint/477

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