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Grand network convergence
A report of the Systems Biology: Networks meeting, Cold Spring Harbor, USA, 22-26 March 2011. The success of the human genome project has provided a model for an analogous interactome project to map how proteins, genes, metabolites and other regulatory components interact to transform a biochemical...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218839/ https://www.ncbi.nlm.nih.gov/pubmed/21682935 http://dx.doi.org/10.1186/gb-2011-12-6-306 |
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author | Bader, Joel S |
author_facet | Bader, Joel S |
author_sort | Bader, Joel S |
collection | PubMed |
description | A report of the Systems Biology: Networks meeting, Cold Spring Harbor, USA, 22-26 March 2011. The success of the human genome project has provided a model for an analogous interactome project to map how proteins, genes, metabolites and other regulatory components interact to transform a biochemical soup into a living system. These maps promise to serve as a framework for models that predict how a biological system responds to a perturbation or an input, which is relevant to gene mutations and therapeutic treatment in human disease, and as a framework for designing new systems in synthetic biology. Three major themes arose during the 2011 meeting: technological drivers and data generation, algorithmic advances, and convergence on biological applications with context-sensitive networks. |
format | Online Article Text |
id | pubmed-3218839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32188392012-06-17 Grand network convergence Bader, Joel S Genome Biol Meeting Report A report of the Systems Biology: Networks meeting, Cold Spring Harbor, USA, 22-26 March 2011. The success of the human genome project has provided a model for an analogous interactome project to map how proteins, genes, metabolites and other regulatory components interact to transform a biochemical soup into a living system. These maps promise to serve as a framework for models that predict how a biological system responds to a perturbation or an input, which is relevant to gene mutations and therapeutic treatment in human disease, and as a framework for designing new systems in synthetic biology. Three major themes arose during the 2011 meeting: technological drivers and data generation, algorithmic advances, and convergence on biological applications with context-sensitive networks. BioMed Central 2011 2011-06-17 /pmc/articles/PMC3218839/ /pubmed/21682935 http://dx.doi.org/10.1186/gb-2011-12-6-306 Text en Copyright ©2011 BioMed Central Ltd. |
spellingShingle | Meeting Report Bader, Joel S Grand network convergence |
title | Grand network convergence |
title_full | Grand network convergence |
title_fullStr | Grand network convergence |
title_full_unstemmed | Grand network convergence |
title_short | Grand network convergence |
title_sort | grand network convergence |
topic | Meeting Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218839/ https://www.ncbi.nlm.nih.gov/pubmed/21682935 http://dx.doi.org/10.1186/gb-2011-12-6-306 |
work_keys_str_mv | AT baderjoels grandnetworkconvergence |