TR&D 2 aims to accelerate biomodeling through enhanced annotation of models, simulation experiments, and simulation results. As models accumulate in public repositories, there is an opportunity to reuse models for new studies and to combine models into comprehensive meta-models of entire biological systems. However, it is currently challenging to reuse and combine models because few models are reproducible or understandable. Consequently, modelers currently waste huge amounts of time trying to understand, reproduce, and combine models published by other modelers, including other modelers in the same research group. To make it easier to understand, reproduce, and combine models, we must make the assumptions, meanings, and limitations of models explicit. To achieve this, we will develop schemas, ontologies, and software tools for clearly describing (a) the data and assumptions used to build models, (b) the meaning of each variable and equation in a model, (c) the meaning of each simulation prediction, and (d) the experimental validations that give confidence in model predictions and which model predictions should be trusted. We will also develop several software tools that use annotations to visualize, decompose, merge, and convert models among Antimony, BioNetGen, BISEN, CellML, MATLAB, MML, Python, SBML, and SimBiology. We will make it easy for modelers to use these tools by integrating them into our SemGen annotation software tool. To ensure these tools accelerate biomodeling, this TR&D will be driven by four Collaborative Projects which need enhanced annotation schemas and tools to understand, reproduce, reuse, and merge their models. The Collaborative Projects will push us to develop user-friendly graphical interfaces to our tools, and we will pull the Collaborative Projects to use our new annotations to annotate their models more deeply. To further help researchers annotate their models, via several Service Projects, we will also provide several journals, model repositories, and labs annotation services where modelers can submit models for validation and annotation by an expert curator. The methods, tools, and services provided by this TR&D will help modelers discover models for new studies, better understand published models, and augment and merge models to test new hypotheses about physiology and pathophysiology. This TR&D builds on our extensive experience in (a) developing schemas for describing models including the SemSim schema for describing physics-based models, (b) developing ontologies for describing biomedical knowledge including the Ontology of Physics for Biology, and (c) developing software tools for annotating, visualizing, and merging models including the SemGem software program and the PhysioMap visualization.
TECHNOLOGY RESEARCH & DEVELOPMENT 2: PROJECT NARRATIVE As models accumulate in public repositories, there is an opportunity to reuse models for new studies and to combine models into comprehensive meta-models of entire biological systems. To make it easy to understand, reproduce, and combine models, this TR&D will develop schemas and software for (a) describing the data and assumptions used to build models, the biological meaning of models and their predictions, and the validations that give confidence in models and (b) leveraging annotations to visualize, merge, and convert models among standards. Ultimately, these tools will help researchers build models that help us understand and treat disease.
