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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...

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Detalles Bibliográficos
Autores principales: Liang, Chunguang, Krüger, Beate, Dandekar, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
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.
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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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