Authors:
Hadas Lapid
;
Assaf Marron
;
Smadar Szekely
and
David Harel
Affiliation:
Weizmann Institute of Science, Rehovot and Israel
Keyword(s):
Scenario-Based Modeling, Behavioral Programming, Computational Biology, Separation of Concerns, Metabolic Networks, Live Sequence Charts, LSC, Krebs Cycle, Citric-Acid Cycle.
Related
Ontology
Subjects/Areas/Topics:
Domain-Specific Modeling and Domain-Specific Languages
;
General-Purpose Modeling Languages and Standards
;
Languages, Tools and Architectures
;
Model-Driven Software Development
;
Software Engineering
Abstract:
Scenario-based modeling (SBM) is an emerging approach for creating executable models of complex reactive systems. In addition to its use in software and system development, SBM has been shown to serve well in modeling biological processes. In this position paper, we show that SBM can be used effectively in modeling biochemical pathways at the molecular level, complementing existing biochemical modeling techniques. One of the key benefits of these SBM models is in helping professionals and students better conceptualize and understand such complex processes.