Last week’s post highlighted how
biophysical methods, and in particular structural insights, can be critical for
advancing fragments to leads. But while everyone likes a structure, one quarter
of respondents to our 2017 poll said they were comfortable optimizing fragments
on the basis of SAR alone. (See also a recent review.) A new example of structure-free
optimization has been published in Bioorg. Med. Chem. Lett. by Remond
Moningka and colleagues at Merck.
The researchers were interested
in the GPCR neuropeptide B/W receptor subtype 1 (NPBWR1, also known as GPR7), a
potential target for obesity. Although impressive advances have been made towards obtaining
structural information on membrane-bound proteins such as GPCRs, especially using
cryo-EM, routine structure-based design is generally not an option.
The researchers started with a 30,000
member library of fragments between 200-350 Da. Both the size of the library
and the size of the fragments are on the large side compared to what is
typically used. A cell-based screen (cAMP assay) at 100 µM yielded 500 hits
that inhibited at least 30%. Counter-screening against an unrelated GPCR whittled
down the number to 20, of which just 3 provided dose-responses. The low
confirmed hit rate illustrates both the utility of a larger library as well as the
number of false positives likely to arise in a cell assay.
SAR by catalog on compound 1 led
to compound 2, and further SAR led to compound 3c, with low micromolar activity
and good ligand efficiency. Replacing the nitro group with a more pharmaceutically
acceptable trifluoromethyl group produced compound 10. It is worth noting that
compound 10 is still fragment-sized yet is >300-fold more active than the initial
hit. This is a useful reminder that one can often make significant improvements
even before fragment growing. Finally, extensive SAR studies around the phenyl
ring ultimately led to compound 21a, with low nanomolar activity.
The pharmacology around GPCRs can
be complicated, and compound 21a turned out not to be a simple competitive (orthosteric)
antagonist of NPBWR1. Rather, it seems to act as a negative allosteric
modulator: it reduces the affinity of the natural ligand.
This is a concise success story
of advancing a fragment in the absence of structural information. Does this
mean we should not strive for structures? Heck no! Not only would structures likely
facilitate faster and further improvements, they might explain the mechanism of action of
the compounds. I, for one, would love to know where and how they bind.
But this paper is another reminder
that you do not always need crystallography - or even a model - to take a fragment to a lead.
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