Binding
of drugs to ocular melanin is a prominent biological phenomenon
that affects the local pharmacokinetics and pharmacodynamics in the
eye. In this work, we report on the development of in vitro and in
silico tools for an early assessment and prediction of melanin binding
properties of small molecules. A robust high-throughput assay has
been established to study the binding of large sets of compounds to
melanin. The extremely randomized trees approach was used to develop
an in silico model able to predict the extent of melanin binding from
the molecular properties of the compounds. After the last iteration
of the model, strong melanin binders could prospectively be identified
with 91% accuracy. On the basis of in vitro data generated for approximately
3400 chemically diverse drug-like small molecules, pronounced correlations
were observed between the extent of melanin binding and the basicity,
lipophilicity, and aromaticity of the compounds.