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} }
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.