Model and simulation annotation

//Model and simulation annotation
Model and simulation annotation2019-07-03T17:12:32-07:00

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.

Internal Research

Gold Standard Models

As part of the CRBM’s annotation and simulation service, we have selected the following models which abide by the agreed standards and annotation practices as defined in Annotation protocol. These models cover a wide [...]

Software

SemGen

SemGen is an experimental software tool for automating the modular composition and decomposition of biosimulation models. SemGen facilitates the construction of complex, integrated models, and the swift extraction of reusable sub-models from larger ones. SemGen [...]

Publications

  • A reappraisal of how to build modular, reusable models of biological systems
    Neal ML, Cooling MT, Smith LP, Thompson CT, Sauro HM, Carlson BE, Cook DL and Gennari JH
    PLoS Comput Biol 10, 10: e1003849 (2014)
  • Multiple ontologies in action: composite annotations for biosimulation models
    Gennari JH, Neal ML, Galdzicki M and Cook DL
    J Biomed Informatics 44, 1: 146-154 (2011)

Collaborative projects

Service projects

Team

Herbert Sauro
Herbert SauroCo-Director
Associate Professor, University of Washington
David Nickerson
David NickersonCo-Director
Senior Research Fellow, University of Auckland
John Gennari
John GennariChief Science Adviser
Associate Professor, University of Washington
Dan Cook
Dan CookConsultant
Research Professor, University of Washington
Maxwell Neal
Maxwell NealConsultant
Senior Scientist, Seattle Children’s Research Institute
 Anand Rampadarath
Anand RampadarathCurator
Assistant/ Model Curator, University of Auckland