Briefings in Bioinformatics Advance Access originally published online on July 16, 2007
Briefings in Bioinformatics 2007 8(5):333-346; doi:10.1093/bib/bbm031
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Published by Oxford University Press 2007.
Protein interactions and disease: computational approaches to uncover the etiology of diseases
Corresponding author. Maricel G. Kann, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20894, USA. Tel: 301-402-3010; Fax: 301 480 4637; E-mail: kann{at}mail.nih.gov
The genomic era has been characterised by vast amounts of data from diverse sources, creating a need for new tools to extract biologically meaningful information. Bioinformatics is, for the most part, responding to that need. The sparseness of the genomic data associated with diseases, however, creates a new challenge. Understanding the complex interplay between genes and proteins requires integration of data from a wide variety of sources, i.e. gene expression, genetic linkage, protein interaction, and protein structure among others. Thus, computational tools have become critical for the integration, representation and visualization of heterogeneous biomedical data. Furthermore, several bioinformatics methods have been developed to formulate predictions about the functional role of genes and proteins, including their role in diseases. After an introduction to the complex interplay between proteins and genetic diseases, this review explores recent approaches to the understanding of the mechanisms of disease at the molecular level. Finally, because most known mechanisms leading to disease involve some form of protein interaction, this review focuses on the recent methodologies for understanding diseases through their underlying protein interactions. Recent contributions from genetics, protein structure and protein interaction network analyses to the understanding of diseases are discussed here.
Keywords: computational biology, diseases, genes, phenotype, proteins, protein interactions
Submitted: April 9, 2007. Received (in revised form): June 6, 2007.
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  J. Zhao, P. Jiang, and W. Zhang Molecular networks for the study of TCM Pharmacology Brief Bioinform, December 28, 2009; (2009) bbp063v1. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. Chen, E. E. Bardes, B. J. Aronow, and A. G. Jegga ToppGene Suite for gene list enrichment analysis and candidate gene prioritization Nucleic Acids Res., July 1, 2009; 37(suppl_2): W305 - W311. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 R. Chowdhary, J. Zhang, and J. S. Liu Bayesian inference of protein-protein interactions from biological literature Bioinformatics, June 15, 2009; 25(12): 1536 - 1542. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 D.-S. Lee, J. Park, K. A. Kay, N. A. Christakis, Z. N. Oltvai, and A.-L. Barabasi Cozzarelli Prize Winner@;DELIM@;From the Cover: The implications of human metabolic network topology for disease comorbidity PNAS, July 22, 2008; 105(29): 9880 - 9885. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
C.-e. A. Chang, W. A. McLaughlin, R. Baron, W. Wang, and J. A. McCammon Entropic contributions and the influence of the hydrophobic environment in promiscuous protein-protein association PNAS, May 27, 2008; 105(21): 7456 - 7461. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 T. Ideker and R. Sharan Protein networks in disease Genome Res., April 1, 2008; 18(4): 644 - 652. [Abstract] [Full Text] [PDF]
|
|