Monoamine
oxidase B (MAO-B) is a potential biomarker for Parkinson’s
disease (PD), a neurodegenerative disease associated with the loss
of motor activities in human subjects. The disease state is associated
with dopamine deprival, and so the inhibitors of MAO-B can serve as
therapeutic drugs for PD. Since the expression level of MAO-B directly
correlates to the disease progress, the distribution and population
of this enzyme can be employed to monitor disease development. One
of the approaches available for estimating the population is two-photon
imaging. The ligands used for two-photon imaging should have high
binding affinity and binding specificity toward MAO-B along with significant
two-photon absorption cross sections when they are bound to the target.
In this article, we study using a multiscale modeling approach, the
binding affinity and spectroscopic properties (one- and two-photon
absorption) of three (Flu1, Flu2, Flu3) of the currently available
probes for monitoring the MAO-B level. We report that the binding
affinity of the probes can be explained using the molecular size and
binding cavity volume. The experimentally determined one-photon absorption
spectrum is well reproduced by the employed QM/MM approaches, and
the most accurate spectral shifts, on passing from one probe to another,
are obtained at the coupled-cluster (CC2) level of theory. An important
conclusion from this study is also the demonstration that intrinsic
molecular two-photon absorption strengths (δ
2PA
)
increase in the order δ
2PA
(Flu1) > δ
2PA
(Flu2) > δ
2PA
(Flu3). This is in contrast
with
experimental data, which predict similar values of two-photon absorption
cross sections for Flu1 and Flu3. We demontrate, based on the results
of electronic-structure calculations for Flu1 that this discrepancy
cannot be explained by an explicit account for neighboring residues
(which could lead to charge transfer between a probe and neighboring
aromatic amino acids thus boosting δ
2PA
). In summary,
we show that the employed multiscale approach not only can optimize
two-photon absorption properties and verify binding affinity, but
it can also help in detailed analyses of experimental data.