Literature DB >> 18227860

Understanding biological functions through molecular networks.

Jing-Dong Jackie Han1.   

Abstract

The completion of genome sequences and subsequent high-throughput mapping of molecular networks have allowed us to study biology from the network perspective. Experimental, statistical and mathematical modeling approaches have been employed to study the structure, function and dynamics of molecular networks, and begin to reveal important links of various network properties to the functions of the biological systems. In agreement with these functional links, evolutionary selection of a network is apparently based on the function, rather than directly on the structure of the network. Dynamic modularity is one of the prominent features of molecular networks. Taking advantage of such a feature may simplify network-based biological studies through construction of process-specific modular networks and provide functional and mechanistic insights linking genotypic variations to complex traits or diseases, which is likely to be a key approach in the next wave of understanding complex human diseases. With the development of ready-to-use network analysis and modeling tools the networks approaches will be infused into everyday biological research in the near future.

Entities:  

Mesh:

Year:  2008        PMID: 18227860     DOI: 10.1038/cr.2008.16

Source DB:  PubMed          Journal:  Cell Res        ISSN: 1001-0602            Impact factor:   25.617


  49 in total

1.  Specific alterations of the microRNA transcriptome and global network structure in colorectal cancer after treatment with MAPK/ERK inhibitors.

Authors:  Marco Ragusa; Luisa Statello; Marco Maugeri; Alessandra Majorana; Davide Barbagallo; Loredana Salito; Mariangela Sammito; Manuela Santonocito; Rosario Angelica; Andrea Cavallaro; Marina Scalia; Rosario Caltabiano; Giuseppe Privitera; Antonio Biondi; Maria Di Vita; Alessandro Cappellani; Enrico Vasquez; Salvatore Lanzafame; Elisabetta Tendi; Salvatore Celeste; Cinzia Di Pietro; Francesco Basile; Michele Purrello
Journal:  J Mol Med (Berl)       Date:  2012-06-04       Impact factor: 4.599

Review 2.  Translational systems approaches to the biology of inflammation and healing.

Authors:  Yoram Vodovotz; Gregory Constantine; James Faeder; Qi Mi; Jonathan Rubin; John Bartels; Joydeep Sarkar; Robert H Squires; David O Okonkwo; Jörg Gerlach; Ruben Zamora; Shirley Luckhart; Bard Ermentrout; Gary An
Journal:  Immunopharmacol Immunotoxicol       Date:  2010-06       Impact factor: 2.730

3.  Ectopic expression of AtJMT in Nicotiana attenuata: creating a metabolic sink has tissue-specific consequences for the jasmonate metabolic network and silences downstream gene expression.

Authors:  Michael Stitz; Klaus Gase; Ian T Baldwin; Emmanuel Gaquerel
Journal:  Plant Physiol       Date:  2011-07-13       Impact factor: 8.340

Review 4.  Systems biology and heart failure: concepts, methods, and potential research applications.

Authors:  Kirkwood F Adams
Journal:  Heart Fail Rev       Date:  2010-07       Impact factor: 4.214

Review 5.  Systems vaccinology: learning to compute the behavior of vaccine induced immunity.

Authors:  Helder I Nakaya; Shuzhao Li; Bali Pulendran
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011-10-19

6.  Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization.

Authors:  Xuerui Yang; Yang Zhou; Rong Jin; Christina Chan
Journal:  Bioinformatics       Date:  2009-06-19       Impact factor: 6.937

Review 7.  Vaccinology in the era of high-throughput biology.

Authors:  Helder I Nakaya; Bali Pulendran
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-06-19       Impact factor: 6.237

8.  Network Medicine: New Paradigm in the -Omics Era.

Authors:  Nancy Lan Guo
Journal:  Anat Physiol       Date:  2011-12-13

9.  Global view of bionetwork dynamics: adaptive landscape.

Authors:  Ping Ao
Journal:  J Genet Genomics       Date:  2009-02       Impact factor: 4.275

10.  A developmental systems perspective on epistasis: computational exploration of mutational interactions in model developmental regulatory networks.

Authors:  Jayson Gutiérrez
Journal:  PLoS One       Date:  2009-09-07       Impact factor: 3.240

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