Modeling Biological Networks

 

  • Funding:
    • Collaborative Advances in Biomedical Computing (CABC) at Rice University. Project titled: Network-guided integration of omics data for predicting therapeutic combinations.
    • NIH NCI grant (PI: Prahlad T. Ram, MD Anderson). Project title: Determinants of signaling network regulation in combinatorial targeted therapies.
    • Collaborative Advances in Biomedical Computing (CABC) at Rice University. Project title: Using signaling networks and proteomic data for computational prediction of therapeutic targets.

 

  • Description: Biological networks (e.g., transcription regulation, signal transduction, and metabolic networks) play a central role in deciding the fate of a cell and, consequently, the individual's phenotype and fitness. In this project, we study the impact of network modeling on downstream analyses, devise new modeling techniques, and study the performance of executable models for capturing network dynamics.

 

  • People:
  1. Luay Nakhleh (PI)
  2. Natalie Berestovsky (former PhD student)
  3. Derek Ruths (former PhD student)
  4. Hamim Zafar (PhD student)
  5. Wanding Zhou (former PhD student)

 

  • Publications:
    • Group publications related to this project: click here.