Wayne K. Dawson
Summary
The purpose of this model is to approximate the features of
the fundimental parameter as a function of the sequence
dependence in the Flory polymer swelling model. The details of these
parameters and how they are obtained (theoretically) is explained in
the flory model.
For denatured polymers, the root-mean-square (rms) end-to-end
separation distance can be obtained experimentally from the radius of
gyration. The parameter expresses the dependence of the rms
end-to-end separation-distance as a function of the number of residues
in the sequence. Because this property can be found for each measured
length, if follows that every point of the sequence exhibits a
rms-separation distance that only depends on the number of residues
that lie between a given pair of residues
and
. The separation
distance for each order pair of indices
in a given polymer
chain is
; where, at the extreme ends,
and
. The properties of
dependent on the specific
conditions of the polymer and solvent which in turn influence the
second and third virial coefficients.
The dependence of the end-to-end separation distance on sequence length
is expressed by the parameter where
where (
) is the rms distance for
a Gaussian polymer chain structure (with
the mer-to-mer separation
distance),
is the number of residues separation index
and
, and
is the persistence length.
The exponent can be expressed as a function of
through
the following relationship
where expresses the weight of this parameter as a
function of length.
The behavior of in typical RNA conditions is shown in Fig
1. In the figure, the RNA tends to swell slightly at
short lengths (due to the exposure of RNA to solvent) and it become
more globular at very long lengths where it can encounter more of
itself if it becomes globular. The region labeled
indicates the
critical length where this transition occurs. The parameters
indication the coexistence region that lies between
and
.
The advantage of this method is that you can obtain and control the
properties of this polymer swelling effect without having to solve for
the second and third virial coefficients ( and
). This
model does not replace the Flory model as much as it circumvents the
difficulties of solving non-integral sixth order polymomial equations.
The virial coefficients are very strongly dependent on the persistence
length (
), and therefore, finding good parameterizations depends
on both
and the
.
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