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Biophys J, October 2001, p. 1841-1853, Vol. 81, No. 4
Molecular Modeling Laboratory, Department of Cell Biology and Biochemistry, United States Army Medical Research Institute of Infectious Diseases, Frederick, Maryland 21702 USA
The problem of calculating binding affinities of
protein-RNA complexes is addressed by analyzing a computational
strategy of modeling electrostatic free energies based on a nonlinear
Poisson-Boltzmann (NLPB) model and linear response approximation
(LRA). The underlying idea is to treat binding as a two-step process.
Solutions to the NLPB equation calculate free energies arising from
electronic polarizability and the LRA is constructed from molecular
dynamics simulations to model reorganization free energies due to
conformational transitions. By implementing a consistency condition of
requiring the NLPB model to reproduce the solute-solvent free-energy
transitions determined by the LRA, a "macromolecule dielectric
constant" (
m) for treating reorganization is obtained.
The applicability of this hybrid approach was evaluated by calculating
the absolute free energy of binding and free-energy changes for amino
acid substitutions in the complex between the U1A spliceosomal protein and its cognate RNA hairpin. Depending on the residue substitution,
m varied from 3 to 18, and reflected dipolar
reorientation not included in the polarization modeled by
m = 2. Although the changes in binding affinities
from substitutions modeled strictly at the implicit level by the NLPB
equation with
m = 4 reproduced the experimental
values with good overall agreement, substitutions problematic to this
simple treatment showed significant improvement when solved by the
NLPB-LRA approach.
Biophys J, October 2001, p. 1841-1853, Vol. 81, No. 4
© 2001 by the Biophysical Society 0006-3495/01/10/1841/13 $2.00
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