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GoSynthetic database tool to analyse natural and engineered molecular processes
An essential topic for synthetic biologists is to understand the structure and function of biological processes and involved proteins and plan experiments accordingly. Remarkable progress has been made in recent years towards this goal. However, efforts to collect and present all information on proc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694605/ https://www.ncbi.nlm.nih.gov/pubmed/23813641 http://dx.doi.org/10.1093/database/bat043 |
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author | Liang, Chunguang Krüger, Beate Dandekar, Thomas |
author_facet | Liang, Chunguang Krüger, Beate Dandekar, Thomas |
author_sort | Liang, Chunguang |
collection | PubMed |
description | An essential topic for synthetic biologists is to understand the structure and function of biological processes and involved proteins and plan experiments accordingly. Remarkable progress has been made in recent years towards this goal. However, efforts to collect and present all information on processes and functions are still cumbersome. The database tool GoSynthetic provides a new, simple and fast way to analyse biological processes applying a hierarchical database. Four different search modes are implemented. Furthermore, protein interaction data, cross-links to organism-specific databases (17 organisms including six model organisms and their interactions), COG/KOG, GO and IntAct are warehoused. The built in connection to technical and engineering terms enables a simple switching between biological concepts and concepts from engineering, electronics and synthetic biology. The current version of GoSynthetic covers more than one million processes, proteins, COGs and GOs. It is illustrated by various application examples probing process differences and designing modifications. Database URL: http://gosyn.bioapps.biozentrum.uni-wuerzburg.de. |
format | Online Article Text |
id | pubmed-3694605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36946052013-06-27 GoSynthetic database tool to analyse natural and engineered molecular processes Liang, Chunguang Krüger, Beate Dandekar, Thomas Database (Oxford) Database Tool An essential topic for synthetic biologists is to understand the structure and function of biological processes and involved proteins and plan experiments accordingly. Remarkable progress has been made in recent years towards this goal. However, efforts to collect and present all information on processes and functions are still cumbersome. The database tool GoSynthetic provides a new, simple and fast way to analyse biological processes applying a hierarchical database. Four different search modes are implemented. Furthermore, protein interaction data, cross-links to organism-specific databases (17 organisms including six model organisms and their interactions), COG/KOG, GO and IntAct are warehoused. The built in connection to technical and engineering terms enables a simple switching between biological concepts and concepts from engineering, electronics and synthetic biology. The current version of GoSynthetic covers more than one million processes, proteins, COGs and GOs. It is illustrated by various application examples probing process differences and designing modifications. Database URL: http://gosyn.bioapps.biozentrum.uni-wuerzburg.de. Oxford University Press 2013-06-27 /pmc/articles/PMC3694605/ /pubmed/23813641 http://dx.doi.org/10.1093/database/bat043 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Liang, Chunguang Krüger, Beate Dandekar, Thomas GoSynthetic database tool to analyse natural and engineered molecular processes |
title | GoSynthetic database tool to analyse natural and engineered molecular processes |
title_full | GoSynthetic database tool to analyse natural and engineered molecular processes |
title_fullStr | GoSynthetic database tool to analyse natural and engineered molecular processes |
title_full_unstemmed | GoSynthetic database tool to analyse natural and engineered molecular processes |
title_short | GoSynthetic database tool to analyse natural and engineered molecular processes |
title_sort | gosynthetic database tool to analyse natural and engineered molecular processes |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694605/ https://www.ncbi.nlm.nih.gov/pubmed/23813641 http://dx.doi.org/10.1093/database/bat043 |
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