A common assumption in fragment growing is that the binding
mode of the fragment remains the same throughout optimization (for example
here, here, and here). However, this is not always the case (as described here,
here, and here). A recent paper in Bioorg.
Med. Chem. Lett. by Ashley Forster and colleagues from Merck falls into
this latter category.
The researchers were interested in phosphodiesterase 2
(PDE2), which hydrolyzes the cyclic nucleotides cAMP and cGMP. PDE2 is highly
expressed in the frontal cortex and hippocampus and has been implicated in
cognition and proposed as a target for Alzheimer’s Disease. But because PDE2 is
just one member of a large class of enzymes, selectivity is important. Indeed,
Merck researchers previously used fragment-based methods to discover selective
inhibitors of another member of the family, PDE10A.
In this case the researchers used both high-concentration
biochemical screens as well as an SPR screen of a library of 1940 fragments,
all with molecular weights < 250 Da. This resulted in 54 competitive
inhibitors of PDE2 with affinities better than 200 µM. (No details were
provided on numbers of hits from each screen.) Compound 1 was progressed into
lead optimization due to its high ligand efficiency and attractive
physicochemical properties.
A crystal structure of compound 1 bound to PDE2 revealed the
potential to grow into a hydrophobic pocket exploited by previously reported
molecules, leading to compound 5. Modeling suggested that bulking up the benzylic
linker could improve the binding mode, and indeed compound 8 had submicromolar
affinity. Surprisingly however, a crystal structure of a related molecule
(having a single methyl group off the linker instead of two) revealed that the
initial fragment had flipped orientation.
Further modeling suggested replacing the
two methyl groups with a cyclopropyl group, as in compound 12. This simple
change gave a 100-fold boost in potency, which was attributed to the free form
of the compound more closely matching the bound form. Finally, the remaining
methyl group was removed to reduce lipophilicity and remove a potential
metabolic liability, leading to compound 16. Crystallography revealed that this
binds as expected (gray), with the fragment moiety in the “flipped” conformation.
Compound 16 is at least 100-fold selective for PDE2 against a panel of
other PDEs. The attention to physicochemical properties paid off in the form of
good oral bioavailability, low clearance, and a satisfactory half life in rats.
Although the paper does not mention how long the program took, it does state
that only 25 analogs were made to get from the initial fragment to compound 16,
and also mentions further optimization. This is another nice example of how the
union of crystallography, modeling, and medicinal chemistry can rapidly lead to
useful molecules.
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