Molecular network analysis enhances understanding of the biology of mental disorders

Bioessays 36 (6):606-616 (2014)
  Copy   BIBTEX

Abstract

We provide an introduction to network theory, evidence to support a connection between molecular network structure and neuropsychiatric disease, and examples of how network approaches can expand our knowledge of the molecular bases of these diseases. Without systematic methods to derive their biological meanings and inter‐relatedness, the many molecular changes associated with neuropsychiatric disease, including genetic variants, gene expression changes, and protein differences, present an impenetrably complex set of findings. Network approaches can potentially help integrate and reconcile these findings, as well as provide new insights into the molecular architecture of neuropsychiatric diseases. Network approaches to neuropsychiatric disease are still in their infancy, and we discuss what might be done to improve their prospects.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,219

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Some mental disorders are based on networks, others on latent variables.Don Ross - 2010 - Behavioral and Brain Sciences 33 (2-3):166-167.
Molecular ecosystems.Marco J. Nathan - 2014 - Biology and Philosophy 29 (1):101-122.
Who’s Afraid of Gory Details?Sun Kyeong Yu - 2008 - Proceedings of the Xxii World Congress of Philosophy 43:215-223.
The molecular turn in psychiatry: A philosophical analysis.Abraham Rudnick - 2002 - Journal of Medicine and Philosophy 27 (3):287 – 296.
Genes made molecular.C. Kenneth Waters - 1994 - Philosophy of Science 61 (2):163-185.
Naturalists, Molecular Biologists, and the Challenges of Molecular Evolution.Joel B. Hagen - 1999 - Journal of the History of Biology 32 (2):321 - 341.

Analytics

Added to PP
2014-05-17

Downloads
19 (#753,814)

6 months
4 (#698,851)

Historical graph of downloads
How can I increase my downloads?