Estimating the Energetic State of Malignant Cells from RNA Transcription and Protein Interaction Network Data
Molecular Networks
2015-06-02 v2
Abstract
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.
Keywords
Cite
@article{arxiv.1402.5911,
title = {Estimating the Energetic State of Malignant Cells from RNA Transcription and Protein Interaction Network Data},
author = {Edward A. Rietman and Rainer Sachs and Philip Hahnfeldt and Lynn Hlatky},
journal= {arXiv preprint arXiv:1402.5911},
year = {2015}
}
Comments
12 pages, 4 figures, Paper withdrawn by coauthor. Some of the coauthors did not give approval for submitting to this site