Multi-layered representation for cell signaling pathways.
To understand complex signaling pathways and networks, it is necessary to develop a formal and structured representation of the available information in a format suitable for analysis by software tools. Due to the complexity and incompleteness of the current biological knowledge about cell signaling, such a device must be able to represent cellular pathways at differing levels of details, one level of information abstract enough to convey an essential signaling flow while hiding its details and another level of information detailed enough to explain the underlying mechanisms that account for the signaling flow described at a more abstract level. We have defined a formal ontology for cell-signaling events that allows us to describe these cellular pathways at various levels of abstraction. Using this formal representation, ROSPath (reactive oxygen species-mediated signaling pathway) database system has been implemented and made available on the web (rospath.ewha.ac.kr). ROSPath is a database system for reactive oxygen species (ROS)-mediated cell signaling pathways and signaling processes in molecular detail, which facilitates a comprehensive understanding of the regulatory mechanisms in signaling pathways. ROSPath includes growth factor-, stress-, and cytokine-induced signaling pathways containing about 500 unique proteins (mostly mammalian) and their related protein states, protein complexes, protein complex states, signaling interactions, signaling steps, and pathways. It is a web-based structured repository of information on the signaling pathways of interest and provides a means for managing data produced by large-scale and high-throughput techniques such as proteomics. Also, software tools are provided for querying, displaying, and analyzing pathways, thus furnishing an integrated web environment for visualizing and manipulating ROS-mediated cell-signaling events.
Department of Mechanical and Information Engineering, University of Seoul, Seoul 130-743, Republic of Korea. paek@uos.ac.kr
Eunok
E
Paek
Jisook
J
Park
Kong-Joo
KJ
Lee
D002468:Cell Physiological Phenomena; D003196:Computer Graphics; D003628:Database Management Systems; D016208:Databases, Factual; D008954:Models, Biological; D017382:Reactive Oxygen Species / Q000378:metabolism*; D015398:Signal Transduction; D012984:Software; D014584:User-Computer Interface
D017382:Reactive Oxygen Species