• Corpus ID: 22409164

Estimating the Energetic State of Malignant Cells from RNA Transcription and Protein Interaction Network Data

@article{Rietman2014EstimatingTE,
  title={Estimating the Energetic State of Malignant Cells from RNA Transcription and Protein Interaction Network Data},
  author={Edward A. Rietman and Rainer K. Sachs and Philip Hahnfeldt and Lynn Hlatky},
  journal={arXiv: Molecular Networks},
  year={2014}
}

• E. Rietman, R. Sachs, +1 author L. Hlatky
• Published 24 February 2014
• Biology
• arXiv: Molecular Networks

Gene expression data, or transcription data, are surrogates for actual protein concentrations in the cells. In addition protein-protein interactions are static diagrams of all the protein-protein interactions in the cell. These interactions may consist of covalent bonding or maybe just secondary bonding such as hydrogen bonding. Given these two surrogate data types we show a technique to compute the Gibbs free energy of a cell. We apply this to yeast cell cycle and to cancer.