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Solvation affects drug design in a number of different manners.
First, drug delivery often requires transport across or through
qualitatively different biophases (e.g., blood, membranes, etc.),
and the facility with which a drug molecule can pass from one
phase to the other is dictated by the differential solvation
effects in the two phases. Additionally, solvation influences
the conformational behavior of drug molecules, which may play
a role in binding efficiency to target receptors. Finally, interaction
of a drug molecule with a target receptor requires the desolvation
of both species, and this change in free energy is a part of
the overall binding constant. This presentation will focus on
efficient models for predicting solvation free energies and
partitioning free energies between different phases with discussion
of both the algorithms involved and their application to specific
examples.
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