Accurate modeling of the dielectric properties of water is crucial to many
applications in bioinformatics and related fields. It is for example an
important
precursor to the computer aided design of drugs.
In the literature, nonlocal extensions of classical macroscopic
electrostatics have
been proposed to capture the effects of water on the electric potential.
We have
derived a novel formulation of "nonlocal electrostatics" that for the
first time allows
for numerical solutions for the typically nontrivial geometries of
biomolecules.
Preliminary results for spherically symmetric systems and a comparison to
experimental results are highly promising.
In the second part of the talk, I will present my recent work in
differential
proteomics.