Literature DB >> 17449819

Biological impacts and context of network theory.

Eivind Almaas1.   

Abstract

Many complex systems can be represented and analyzed as networks, and examples that have benefited from this approach span the natural sciences. For instance, we now know that systems as disparate as the World Wide Web, the Internet, scientific collaborations, food webs, protein interactions and metabolism all have common features in their organization, the most salient of which are their scale-free connectivity distributions and their small-world behavior. The recent availability of large-scale datasets that span the proteome or metabolome of an organism have made it possible to elucidate some of the organizational principles and rules that govern their function, robustness and evolution. We expect that combining the currently separate layers of information from gene regulatory networks, signal transduction networks, protein interaction networks and metabolic networks will dramatically enhance our understanding of cellular function and dynamics.

Mesh:

Year:  2007        PMID: 17449819     DOI: 10.1242/jeb.003731

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  50 in total

1.  Topological analysis and interactive visualization of biological networks and protein structures.

Authors:  Nadezhda T Doncheva; Yassen Assenov; Francisco S Domingues; Mario Albrecht
Journal:  Nat Protoc       Date:  2012-03-15       Impact factor: 13.491

2.  A network model for plant-pollinator community assembly.

Authors:  Colin Campbell; Suann Yang; Réka Albert; Katriona Shea
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-20       Impact factor: 11.205

Review 3.  The implications of human metabolic network topology for disease comorbidity.

Authors:  D-S Lee; J Park; K A Kay; N A Christakis; Z N Oltvai; A-L Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-03       Impact factor: 11.205

4.  An evolving model of undirected networks based on microscopic biological interaction systems.

Authors:  Lu Tan; Jianhua Zhang; Lu Jiang
Journal:  J Biol Phys       Date:  2009-03-27       Impact factor: 1.365

5.  Desmosomal interactome in keratinocytes: a systems biology approach leading to an understanding of the pathogenesis of skin disease.

Authors:  Nicola Cirillo; Stephen S Prime
Journal:  Cell Mol Life Sci       Date:  2009-11       Impact factor: 9.261

6.  Global self-regulation of the cellular metabolic structure.

Authors:  Ildefonso M De la Fuente; Fernando Vadillo; Alberto Luís Pérez-Samartín; Martín-Blas Pérez-Pinilla; Joseba Bidaurrazaga; Antonio Vera-López
Journal:  PLoS One       Date:  2010-03-02       Impact factor: 3.240

Review 7.  Quantitative analysis of cellular metabolic dissipative, self-organized structures.

Authors:  Ildefonso Martínez de la Fuente
Journal:  Int J Mol Sci       Date:  2010-09-27       Impact factor: 5.923

8.  Integration of metabolic databases for the reconstruction of genome-scale metabolic networks.

Authors:  Karin Radrich; Yoshimasa Tsuruoka; Paul Dobson; Albert Gevorgyan; Neil Swainston; Gino Baart; Jean-Marc Schwartz
Journal:  BMC Syst Biol       Date:  2010-08-16

9.  The number of catalytic elements is crucial for the emergence of metabolic cores.

Authors:  Ildefonso M De la Fuente; Fernando Vadillo; Martín-Blas Pérez-Pinilla; Antonio Vera-López; Juan Veguillas
Journal:  PLoS One       Date:  2009-10-19       Impact factor: 3.240

10.  The impact of cellular networks on disease comorbidity.

Authors:  Juyong Park; Deok-Sun Lee; Nicholas A Christakis; Albert-László Barabási
Journal:  Mol Syst Biol       Date:  2009-04-07       Impact factor: 11.429

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