The Virtual Cell is capable of handling a range of biological based models from the simple to the very complex. Computational modeling can be a useful tool for providing the answers to a variety of questions:

• Is a hypothetical network complete and correct ?
  • Do MS protein profiles match model prediction?
• What are the critical components of a pathway?
  • Virtual knockouts; evaluate drug targets.
• Analyze quantitative microscopy experiments.
  • FRAP, uncaging, probe translocation
• Visualize species that can't be probed experimentally
  • Spatiotemporal patterns of post-translational modifications
• Facilitate the sharing of models and the collaborative construction of 'supermodels'.

As depicted in the picture above, an experiment or a hypothesis can be the initial step in the modeling process and from there new experimental data can supplement information to the model so it will grow in complexity and accuracy. In addition, new hypotheses can be formed to challenge the model and possibly take it to new directions.

The following is a partial listing of published models using the Virtual Cell to answer some experimental questions and to pose new questions. See our Publication list for a more comprehensive listing.