1. The DARPA BioSPICE Project Clifford A. Shaffer Department of Computer Science Virginia Tech

2. VT Team Biology: John Tyson, Jill Sible, Kathy Chen, Laurence Calzone, Emery Conrad, Andrea Ciliberto, Amit Dravid Computer Science: Cliff Shaffer, Layne Watson, Naren Ramakrishnan, Marc Vass, Nick Allen, Jason Zwolak, Dan Mosia, Sumit Shah, Mohsen Ghomi

3. Comments on Collaboration

4. Domain team routinely underestimates how difficult it is to create reliable and usable software.

5. Comments on Collaboration Domain team routinely underestimates how difficult it is to create reliable and usable software. CS team routinely underestimates how difficult it is to stay focussed on the needs of the domain team.

6. Comments on Collaboration Domain team routinely underestimates how difficult it is to create reliable and usable software. CS team routinely underestimates how difficult it is to stay focussed on the needs of the domain team. Partial solution: truly integrate.

7. Systems Biology: Pathway Modeling

8. Focus on regulatory mechanisms for biochemical networks

9. Systems Biology: Pathway Modeling Focus on regulatory mechanisms for biochemical networks –Start with a wiring diagram

10. Cln3 Mass Budding Cln2 SBF Bck2 and Clb5 MBF DNA synthesis Clb? SCF P Sic1 Cln2 Sic1 Clb5 Swi5 Sister chromatid separation Unaligned Xsomes Cdc20 Clb5 Clb2 Cdh1 Clb2 Cdc20 Sic1 Clb2 Mcm1 Mitosis

11. Systems Biology: Pathway Modeling Focus on regulatory mechanisms for biochemical networks –Start with a wiring diagram Some example problems: –Cell Cycle (John Tyson) –Circadian Rhythms

12. synthesisdegradationsynthesis degradation binding activationinactivation

13. Time (min) Sic1 mass Clb2 Cln2 Cdh1 Simulation of the budding yeast cell cycle G1S/M Cdc20

14. Usage Scenario Data Notebook Wiring Diagram Differential Equations Parameter Values Analysis Simulation Comparator Data Notebook ExperimentalDatabases

15. The Cell (Modeler) Cycle Outer Loop: –Define Reaction Equations Inner Loop: –Adjust parameters, initial conditions

16. Fundamental Activities Collect information –Search literature (databases), Lab notebooks Define/modify models –A user interface problem Run simulations –Equation solvers (ODEs, PDEs, deterministic, stochastic) Compare simulation results to experimental data –Analysis

17. Our Mission: Build Software to Help the Modelers

18. Now: Typical cycle time for changing the model is one month –Collect data on paper lab notebooks –Convert to differential equations by hand –Calibrate the model by trial and error –Inadequate analysis tools

19. Our Mission: Build Software to Help the Modelers Now: Typical cycle time for changing the model is one month –Collect data on paper lab notebooks –Convert to differential equations by hand –Calibrate the model by trial and error –Inadequate analysis tools Goal: Change the model once per day. –Bottleneck should shift to the experimentalists

20. Another View Current models of simple organisms contain a few 10s of equations.

21. Another View Current models of simple organisms contain a few 10s of equations. To model mammalian systems might require two orders of magnitude in additional complexity.

22. Another View Current models of simple organisms contain a few 10s of equations. To model mammalian systems might require two orders of magnitude in additional complexity. We hope our current vision for tools can supply one order of magnitude.

23. Another View Current models of simple organisms contain a few 10s of equations. To model mammalian systems might require two orders of magnitude in additional complexity. We hope our current vision for tools can supply one order of magnitude. The other order of magnitude is an open problem.

24. BioSPICE DARPA project Approximately 15 groups Many (not all) of the systems biology modelers and software developers An explicit integration team Goal: Define mechanisms for interoperability of software tools, build an expandable problem solving environment for systems biology Result: software tools contributed by the community to the community

25. Tools Specifications for defining models (markup languages) “Electronic Lab Notebooks” and access to literature, experiments, etc. User interface for specifying models, parameters, initial conditions Simulators (equation solvers)

26. Tools (cont.) Automated parameter estimation (calibration) Analysis tools for comparing simulation results and experimental results Analysis tools for “higher order” analysis of models (bifurcation analysis) Database support for simulations (data mining)

27. JigCell Model Builder Run Manager Comparator Plotter Parameter Estimation Database support

28. JigCell Model Builder

29. JigCell Run Manager

30. JigCell Comparator

31. Plotter