A data integration approach for cell cycle analysis oriented to model simulation in systems biology
2007

Cell Cycle Database for Systems Biology

publication Evidence: moderate

Author Information

Author(s): Roberta Alfieri, Ivan Merelli, Ettore Mosca, Luciano Milanesi

Primary Institution: Istituto di Tecnologie Biomediche – Consiglio Nazionale delle Ricerche

Hypothesis

The integration of data related to the cell cycle can enhance systems biology research and cancer studies.

Conclusion

The Cell Cycle Database provides a comprehensive resource for integrating and simulating cell cycle data, aiding in cancer research.

Supporting Evidence

  • The database integrates gene and protein information from multiple sources.
  • It allows users to simulate the behavior of cell cycle components mathematically.
  • The resource is designed to be updated automatically with new data.

Takeaway

This study created a database that helps scientists understand how cells grow and divide, which is important for cancer research.

Methodology

The database integrates information about genes and proteins involved in the cell cycle and allows mathematical simulations of their behavior.

Limitations

The database currently focuses on two organisms and may not include all relevant models or interactions.

Digital Object Identifier (DOI)

10.1186/1752-0509-1-35

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