1. BioInnovation Kelly Freed, Conor Petersen, Emily Rautenberg & Brian Ridings Client: Dr. Philip Leopold

2. Computational Biology  Modeling biological reactions using mathematical means to produce simulations to be used in real world applications  Allows user to compare computed results with in-lab experimentation  Computational means provide a faster and inexpensive substitute to in-lab research  Digital data can be used to predict real life results  OUR PROJECT: Computationally Model Viral Infection

3. Intro to Cell Biology Virus Cell Nucleus Microtubules MTOC (Microtubule (adenovirus) Organizing Center)

4. Viral Infection Virus attaches to a cell encapsulated in an endosome, releases into the cytosol, then attaches to the microtubule...but then what?

5. The Unknowns  What happens after viruses travel along microtubules?  Can the virus bind to the nucleus at any state?  How do viruses move from the MTOC to the nucleus?  Is there another intracellular transportation mechanism?

6. Our Solution  Provide method of testing both known and unknown  Create unique experiments through path manipulation (change to state diagram)  Randomly grow microtubules to add cell variability  Supply graphical comparisons of simulations and data  Provide exportation of data to study

7. Possible Experiments

8. Possible Variables  Cell Size  Cell Type (affects Microtubule Generation)  Normal  Cancerous  Number of Viruses  Various Rates in a Given State

9. Implementation  Unity 3D  GUI: C#  Simulation: C#  Autodesk Maya  Cell Model Creation  Virus Creation

10. Input

11. Running Simulation

12. Output

13. Demonstration Let's see it in action!

14. Future  More Versatility for User  Animation Playback and Save Capabilities  More Cell Customizability

15. Questions? Kelly Freed, kfreed@stevens.edukfreed@stevens.edu Conor Petersen, cpeterse@stevens.educpeterse@stevens.edu Emily Rautenberg, erautenb@stevens.eduerautenb@stevens.edu Brian Ridings, bridings@stevens.edubridings@stevens.edu