| Modeling of data, process, and systems are essential for understanding their characteristics. Data modeling tools such as Entity-Relationship diagrams are useful in capturing semantics; however, they are not the best choice for representing biological systems. One of the important reasons is that they are not capable of representing dynamic properties and constraints beyond cardinality constraints, which is a key to biological activities. Unified Modeling Language is more scalable than Entity-Relationship diagrams but it also does not have provision to represent dynamic cause and effect relationship. We have identified Unified Modeling Language to be a suitable candidate for developing our modeling tool. We extend its capabilities (by adding different representations for various entities, reactions and biological scenarios) in Biological Process Modeling Language (BIOPROML). Current work investigates the modeling of biological activities and shows how Biological Process Modeling Language represents biological activities. We verify the model by giving representations for biological processes. |
