Natural language order - a streamlined approach to modeling

Computer models of biological systems need to manage both form and function. The transformation of scientific observation to computer code requires a means of describing form and function that fits both systems approaches. We propose the use of formal natural language order. Our hypothesis is that by designing such a process we can provide a tool that both “feels” natural to the researcher and is easy for the designer to convert directly to accurate and realistic models of complex biological functions. We modeled skeletal muscle to demonstrate the approach. Supported by UTSA Summer Mentor Program.