ArticleDatabase : the journal of biological databases and curation2013
GoSynthetic database tool to analyse natural and engineered molecular processes.
Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- PRO-Simat: Protein network simulation and design tool.Computational and structural biotechnology journal · 2023Article
- AProteomes · 2016Article
- The drug-minded protein interaction database (DrumPID) for efficient target analysis and drug development.Database : the journal of biological databases and curation · 2016Article
- Finding sequences for over 270 orphan enzymes.PloS one · 2014Article
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3 authors.
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Abstract
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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