Biology
A primer on thermodynamic-based models for deciphering transcriptional regulatory logic
Document Type
Article
Abstract
A rigorous analysis of transcriptional regulation at the DNA level is crucial to the understanding of many biological systems. Mathematical modeling has offered researchers a new approach to understanding this central process. In particular, thermodynamic-based modeling represents the most biophysically informed approach aimed at connecting DNA level regulatory sequences to the expression of specific genes. The goal of this review is to give biologists a thorough description of the steps involved in building, analyzing, and implementing a thermodynamic-based model of transcriptional regulation. The data requirements for this modeling approach are described, the derivation for a specific regulatory region is shown, and the challenges and future directions for the quantitative modeling of gene regulation are discussed.© 2013 Elsevier B.V.
Publication Title
Biochimica et Biophysica Acta - Gene Regulatory Mechanisms
Publication Date
9-1-2013
Volume
1829
Issue
9
First Page
946
Last Page
953
ISSN
1874-9399
DOI
10.1016/j.bbagrm.2013.04.011
Keywords
enhancer, parameter estimation, sensitivity analysis, Thermodynamic modeling, transcriptional regulation
Repository Citation
Dresch, Jacqueline M.; Richards, Megan; and Ay, Ahmet, "A primer on thermodynamic-based models for deciphering transcriptional regulatory logic" (2013). Biology. 126.
https://commons.clarku.edu/faculty_biology/126