TY - JOUR
T1 - Transcriptional regulation by the numbers
T2 - Models
AU - Bintu, Lacramioara
AU - Buchler, Nicolas E.
AU - Garcia, Hernan G.
AU - Gerland, Ulrich
AU - Hwa, Terence
AU - Kondev, Jané
AU - Phillips, Rob
PY - 2005/4
Y1 - 2005/4
N2 - The expression of genes is regularly characterized with respect to how much, how fast, when and where. Such quantitative data demands quantitative models. Thermodynamic models are based on the assumption that the level of gene expression is proportional to the equilibrium probability that RNA polymerase (RNAP) is bound to the promoter of interest. Statistical mechanics provides a framework for computing these probabilities. Within this framework, interactions of activators, repressors, helper molecules and RNAP are described by a single function, the 'regulation factor'. This analysis culminates in an expression for the probability of RNA polymerase binding at the promoter of interest as a function of the number of regulatory proteins in the cell.
AB - The expression of genes is regularly characterized with respect to how much, how fast, when and where. Such quantitative data demands quantitative models. Thermodynamic models are based on the assumption that the level of gene expression is proportional to the equilibrium probability that RNA polymerase (RNAP) is bound to the promoter of interest. Statistical mechanics provides a framework for computing these probabilities. Within this framework, interactions of activators, repressors, helper molecules and RNAP are described by a single function, the 'regulation factor'. This analysis culminates in an expression for the probability of RNA polymerase binding at the promoter of interest as a function of the number of regulatory proteins in the cell.
UR - https://revistas.javeriana.edu.co/index.php/revUnivOdontologica/article/view/38278
U2 - 10.1016/j.gde.2005.02.007
DO - 10.1016/j.gde.2005.02.007
M3 - Artículo de revisión
C2 - 15797194
AN - SCOPUS:15744394192
SN - 0959-437X
VL - 15
SP - 116
EP - 124
JO - Current Opinion in Genetics and Development
JF - Current Opinion in Genetics and Development
IS - 2
ER -