RNA protein interactions control the fate of cellular RNAs and play an
important role in gene regulation. An interdependency between such interactions
allows for the implementation of logic functions in gene regulation. We
investigate the interplay between RNA binding partners in the context of the
statistical physics of RNA secondary structure, and define a linear correlation
function between the two partners as a measurement of the interdependency of
their binding events. We demonstrate the emergence of a long-range power-law
behavior of this linear correlation function. This suggests RNA secondary
structure driven interdependency between binding sites as a general mechanism
for combinatorial post-transcriptional gene regulation.Comment: 26 pages, 17 figure