Using process diagrams for the graphical representation of biological networks
Top Cited Papers
- 4 August 2005
- journal article
- research article
- Published by Springer Nature in Nature Biotechnology
- Vol. 23 (8) , 961-966
- https://doi.org/10.1038/nbt1111
Abstract
With the increased interest in understanding biological networks, such as protein-protein interaction networks and gene regulatory networks, methods for representing and communicating such networks in both human- and machine-readable form have become increasingly important. Although there has been significant progress in machine-readable representation of networks, as exemplified by the Systems Biology Mark-up Language (SBML) (http://www.sbml.org) issues in human-readable representation have been largely ignored. This article discusses human-readable diagrammatic representations and proposes a set of notations that enhances the formality and richness of the information represented. The process diagram is a fully state transition–based diagram that can be translated into machine-readable forms such as SBML in a straightforward way. It is supported by CellDesigner, a diagrammatic network editing software (http://www.celldesigner.org/), and has been used to represent a variety of networks of various sizes (from only a few components to several hundred components).Keywords
This publication has 10 references indexed in Scilit:
- A comprehensive pathway map of epidermal growth factor receptor signalingMolecular Systems Biology, 2005
- The PANTHER database of protein families, subfamilies, functions and pathwaysNucleic Acids Research, 2004
- Metabolic Syndrome and Robustness TradeoffsDiabetes, 2004
- Molecular Interaction Maps--A Diagrammatic Graphical Language for Bioregulatory NetworksScience's STKE, 2004
- A graphical notation for biochemical networksBIOSILICO, 2003
- CellDesigner: a process diagram editor for gene-regulatory and biochemical networksBIOSILICO, 2003
- The systems biology markup language (SBML): a medium for representation and exchange of biochemical network modelsBioinformatics, 2003
- Molecular interaction maps as information organizers and simulation guidesChaos: An Interdisciplinary Journal of Nonlinear Science, 2001
- The visual display of regulatory information and networksTrends in Cell Biology, 2000
- Molecular Interaction Map of the Mammalian Cell Cycle Control and DNA Repair SystemsMolecular Biology of the Cell, 1999